{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用ARIMA工具对沪市指数进行预测：\n",
    "\n",
    "Step1，数据加载&探索\n",
    "按照不同的时间尺度（天，月，季度，年）可以将数据压缩，得到不同尺度的数据，然后做可视化呈现。这4个时间尺度上，我们选择“月”作为预测模型的时间尺度\n",
    "df_month = df.resample('M').mean()\n",
    "\n",
    "Step2，模型选择&训练，在给定范围内，选择最优的超参数\n",
    "创建ARMA时间序列模型。我们并不知道p和q取什么值时，模型最优，因此可以给它们设置一个区间范围，比如都是range(0,3)，然后计算不同模型的AIC数值，选择最小的AIC数值对应的那个ARMA模型\n",
    "\n",
    "Step3，模型预测，可视化呈现\n",
    "用这个最优的ARMA模型预测未来3个月的沪市指数走势，并将结果做可视化呈现。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from statsmodels.tsa.arima_model import ARIMA\n",
    "import statsmodels.api as sm\n",
    "import warnings\n",
    "from itertools import product\n",
    "from datetime import datetime, timedelta\n",
    "import calendar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step1 数据加载&探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Price</th>\n",
       "      <th>stock_volume</th>\n",
       "      <th>amount_volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990/12/19</td>\n",
       "      <td>99.9800</td>\n",
       "      <td>1260</td>\n",
       "      <td>494000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1990/12/20</td>\n",
       "      <td>104.3900</td>\n",
       "      <td>197</td>\n",
       "      <td>84000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990/12/21</td>\n",
       "      <td>109.1300</td>\n",
       "      <td>28</td>\n",
       "      <td>16000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990/12/24</td>\n",
       "      <td>114.5500</td>\n",
       "      <td>32</td>\n",
       "      <td>31000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990/12/25</td>\n",
       "      <td>120.2500</td>\n",
       "      <td>15</td>\n",
       "      <td>6000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7140</th>\n",
       "      <td>2020/3/6</td>\n",
       "      <td>3034.5113</td>\n",
       "      <td>362061533</td>\n",
       "      <td>3.77E+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7141</th>\n",
       "      <td>2020/3/9</td>\n",
       "      <td>2943.2907</td>\n",
       "      <td>414560736</td>\n",
       "      <td>4.38E+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7142</th>\n",
       "      <td>2020/3/10</td>\n",
       "      <td>2996.7618</td>\n",
       "      <td>393296648</td>\n",
       "      <td>4.25E+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7143</th>\n",
       "      <td>2020/3/11</td>\n",
       "      <td>2968.5174</td>\n",
       "      <td>352470970</td>\n",
       "      <td>3.79E+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7144</th>\n",
       "      <td>2020/3/12</td>\n",
       "      <td>2923.4856</td>\n",
       "      <td>307778457</td>\n",
       "      <td>3.28E+11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7145 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Timestamp      Price  stock_volume amount_volume\n",
       "0     1990/12/19    99.9800          1260        494000\n",
       "1     1990/12/20   104.3900           197         84000\n",
       "2     1990/12/21   109.1300            28         16000\n",
       "3     1990/12/24   114.5500            32         31000\n",
       "4     1990/12/25   120.2500            15          6000\n",
       "...          ...        ...           ...           ...\n",
       "7140    2020/3/6  3034.5113     362061533      3.77E+11\n",
       "7141    2020/3/9  2943.2907     414560736      4.38E+11\n",
       "7142   2020/3/10  2996.7618     393296648      4.25E+11\n",
       "7143   2020/3/11  2968.5174     352470970      3.79E+11\n",
       "7144   2020/3/12  2923.4856     307778457      3.28E+11\n",
       "\n",
       "[7145 rows x 4 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Step1 数据加载&探索\n",
    "df = pd.read_csv('shanghai_index_1990_12_19_to_2020_03_12.csv')\n",
    "df#沪市指数预测 其中有 时间 价格 股票存量和数量存量 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1990/12/19</td>\n",
       "      <td>99.9800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1990/12/20</td>\n",
       "      <td>104.3900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990/12/21</td>\n",
       "      <td>109.1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990/12/24</td>\n",
       "      <td>114.5500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990/12/25</td>\n",
       "      <td>120.2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7140</th>\n",
       "      <td>2020/3/6</td>\n",
       "      <td>3034.5113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7141</th>\n",
       "      <td>2020/3/9</td>\n",
       "      <td>2943.2907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7142</th>\n",
       "      <td>2020/3/10</td>\n",
       "      <td>2996.7618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7143</th>\n",
       "      <td>2020/3/11</td>\n",
       "      <td>2968.5174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7144</th>\n",
       "      <td>2020/3/12</td>\n",
       "      <td>2923.4856</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7145 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Timestamp      Price\n",
       "0     1990/12/19    99.9800\n",
       "1     1990/12/20   104.3900\n",
       "2     1990/12/21   109.1300\n",
       "3     1990/12/24   114.5500\n",
       "4     1990/12/25   120.2500\n",
       "...          ...        ...\n",
       "7140    2020/3/6  3034.5113\n",
       "7141    2020/3/9  2943.2907\n",
       "7142   2020/3/10  2996.7618\n",
       "7143   2020/3/11  2968.5174\n",
       "7144   2020/3/12  2923.4856\n",
       "\n",
       "[7145 rows x 2 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#实际上只要['Timestamp', 'Price']这两列就\n",
    "df = df[['Timestamp', 'Price']]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/stu_15527388015/.local/lib/python3.7/site-packages/pandas/core/generic.py:5168: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self[name] = value\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1990-12-19</th>\n",
       "      <td>99.9800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-20</th>\n",
       "      <td>104.3900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-21</th>\n",
       "      <td>109.1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-24</th>\n",
       "      <td>114.5500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990-12-25</th>\n",
       "      <td>120.2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-06</th>\n",
       "      <td>3034.5113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-09</th>\n",
       "      <td>2943.2907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-10</th>\n",
       "      <td>2996.7618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-11</th>\n",
       "      <td>2968.5174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-12</th>\n",
       "      <td>2923.4856</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7145 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Price\n",
       "Timestamp            \n",
       "1990-12-19    99.9800\n",
       "1990-12-20   104.3900\n",
       "1990-12-21   109.1300\n",
       "1990-12-24   114.5500\n",
       "1990-12-25   120.2500\n",
       "...               ...\n",
       "2020-03-06  3034.5113\n",
       "2020-03-09  2943.2907\n",
       "2020-03-10  2996.7618\n",
       "2020-03-11  2968.5174\n",
       "2020-03-12  2923.4856\n",
       "\n",
       "[7145 rows x 1 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将时间作为df的索引\n",
    "df.Timestamp = pd.to_datetime(df.Timestamp)\n",
    "df.set_index('Timestamp',inplace=True)#或者可以用这句代码df.index = df.Timestamp\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(352, 1)\n",
      "(118, 1)\n",
      "(31, 1)\n"
     ]
    }
   ],
   "source": [
    "# 按照月，季度，年来统计\n",
    "df_month = df.resample('M').mean()\n",
    "df_Q = df.resample('Q-DEC').mean()\n",
    "df_year = df.resample('A-DEC').mean()\n",
    "print(df_month.shape)\n",
    "print(df_Q.shape)\n",
    "print(df_year.shape)#分别按照月 季度  年来统计  所以数量变少了很多"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAHOCAYAAAAyglD4AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAADlyklEQVR4nOzdd3iUVfbA8e9J7wmE0EvoNfQOKgIi2HtZdBXX1VV3f5a1665l7V3XXtG19y6CCCoISO8dAoQaQnov9/fH+85kkkz6JJNJzud58mTmvmXuTCZz57z33nPFGINSSimllFJKKd/i5+0KKKWUUkoppZSqPQ3mlFJKKaWUUsoHaTCnlFJKKaWUUj5IgzmllFJKKaWU8kEazCmllFJKKaWUD9JgTimllFJKKaV8kAZzSqkmTUQuFxEjIpd7uy71JSILRaRB14MRkdn26xXfkI/jLSKSKCKJ3q6HJzXG+0K515w+X5RSLZMGc0qpRiUi/iLyVxH5RUSOiUihiBwRkXUi8rqInOHtOrY0IjJKRN4TkT0iki8iGSKyU0S+EZFbRSS83P5GRBZ6qboe4Qigqvm519v1bKlEZFJzeJ8ppVRDC/B2BZRSLYeI+APfAtOBNOA7IAkIAgYCfwL6AV97qYrNwR3AI8D+muwsIpcAbwMC/Ax8AeQC3YCJwGnA58COhqhsE/A2kFjJtoWNVw2llFKq9jSYU0o1pouxArm1wAnGmHTXjSISBozxRsWaC2PMQeBgTfa1X+8XAANMM8bMd7PPeOCoRyvZtMw2xiz0diWUUkqputBhlkqpxjTe/j27fCAHYIzJMcYsqOxgETnRHh6XaQ8F/E5E+rvZr4+IPCIiK0Qk2R46uEdEXhWRzm72dwzpuldEhtrnTRORHHs46Pjyx9jHdRCRt+xhorkiskZELnM9XyXHBYjInSKy3a7bPhF5VESC3Ox7loi8KyLbRCTb/lkpIv8nIhU+w2s5Z24QEAVscBfIARhjfjfGpNnnvtxlbtcJVQ1JFJELRORXEUm3X5v1InKHiARX8pp0FpHn7Nck1x6C+4eI/KsGzwMR+ZP9Wm729HxBEQkSkeX286wwDFhE3rG3/atceWsReVBENtjvpXQRWWu/N8PdnKdR3hcicrX998gTkcP2/0V0Jc/9ZBFZbJ//mIh8KSL9qnqficgYEflURA6JSIH9PF4RkY7VvNTVEpc5blLDzwP7uF4i8omIpNrP5XcRObWax+osIs+LyC7775EiIl+LyKhy+91o1+kzN+eYKiLF9usdWr9nr5RSFWnPnFKqMaXYv/vU4djTgDOBH4CXgQHAKcAoERlgjHHtPToH+BuwAPgdKMAaxnklcLqIjDTGuBuGOBK4FVgCvA50Bc4F5ovIUGPMVseOItLW3q8b8Kv9OO2BF4G51TyX94Hj7OeSYT+PW4G2wKxy+z4ClADLsIZORgOTgWeBUcCl1TxWVRx/j44iEm6Mya5m/zXAfcA9wB5gtsu2hY4bIvIQ1nDPo1jPNQuYATwEnCwi04wxBS77jwR+BFpjvZafA2FYf+N7gf9UVSkRuRXrdfodOMMYc6ya51ErxpgCEbkQWA28Zb8X9tmPPQvrbzAfeNClTt2x3n/dgJXAS1gXUPsAN2K9h8u/3o3xvngMOBn4But9eiLwV6CXfbyTiFxk1ykP+Birx3c81vt+rbuTi8gVwKtAPtZw6X1Ab0r/98YaY/ZWUrfaqPHngYj0tusca++/xn6+X9r33T2P4VivT2us9+bnQBvgLGCRiJxtjPkewBjztIhMBs4RkWuNMS/a52gPvIv1+l1gjMn1wPNWSqmyjDH6oz/6oz+N8gMMwwqsSoD/YQVd3ao55nKsYYBFwJRy2x62t91arrwTEOzmXNOAYuClcuWT7PMY4PJy2662y18sV/6GXf5oufIhWF9kDXBvuW0L7fKVQGuX8nCsOWnFQPtyx/R08zz8sOZ6GWBMuW2z7fL4Gvw9BPjD3n8NcJ39Nwqq5jgDLKxk2zh7+17X54J18fAbe9udLuVBwG67/E9uzte53P1EINHldfivfexnQEgt3ouOv8VsrIDR3U/5v8UF9jG/Af5Af6yA7LCbfX+3973DzWO3ca1rI78v9gJdy/1dfrW3jXYpjwRSsd7LQ8qd6xFK/1/iXcr7YP1/7wA6lTtmiv08vqjh32eSu/cZdfs8mGuXX1+u/Ezc/N/br8kOrCDshHLHdMQKng/i8hmDFSjuw5pvOsT+W/xkn3tWTd+X+qM/+qM/tf3xegX0R3/0p2X92F+ID7p8iTJYPURfAKe72d/x5e1dN9u629s+rcXjrwN2lStzfHFc5Gb/QKAQWOFSFgTkYCVxiXRzzGtUHcxNdXPMffa202r4PIbb+/+7XLnjS3t8Dc/TFasHyfXvUYDV43MbEOXmmKqCOcdzv8rNtj72F/pdLmXn2vt/VcP6Jto/IVi9JQZ4DvCr5fvQ8beo6meom+Netrc9AazHujAxrdw+I+x9VtekXo38vrjSzTGz7G1/dym7xC57083+EViBXvlg7mm77NRK6vYFVhBW4X/Gzb6T3L3PqOXnAdDZLtsF+Ffx2l/uUuYI8h6vpG7X29tPKVc+0X5+W7B6od3WU3/0R3/0x5M/OsxSKdWojDEfi8gXWMO7JmL1BE3EGr50loi8g/XFypQ7dIWb0+2zf7dyLRQRAWZiffEbYm/3d9mlAPcqPIYxplBEDpd7jL5AKFaAl+nmPIuwhpVVpjbPJRa4BWsIWQ+s3hpXnap4nGoZa8jbifZco5OwhpqOdvm5VkQmGWN21/CUw+3fP7t5rG0ikgR0F5FoY82bHGtvdjvcrRKhWMMaxwG3GWMeq8Wx5Z1oapcA5QasoYb/tO8/bIwpP6zW8Zx+NMaU1OLcjfG+qOljDLN/Lyq/szEmS0TWYAVcrsbZv08oP6/M1hbr/7APVi9kfdT6eRhjit0csxA4oVyZ43l0E/fzXnvbv/sD3zsKjTGLROQe4AGsYcbbsYZ7K6VUg9FgTinV6IwxhVhDn+aCc8mCc4E3gT9jXcH/stxhaW7OU2TFbWUCNYCnsL50H8Sa77Ifa/gTWAFet0qqVuExbEXlHiPa/n24kv0rKwfA2AlF3DwGro8jIjHAcqwehz+Ad4Bj9r4xWD0EbhOK1JYxZjOw2eWx+2H9PcZh9bicVcNTOV6byjJqHsTqDYwB0u3fUMOlFGyRWEFjBtbft9EYY/JE5DsgAevv8IKb3WLs37V5To31vqjRY1C393is/fuWSo5xiKhme02klS+o5POguudxyE2Z43mcX00d3D2Pz4H7sYZZvm6MyarmHEopVS8azCmlvM6+Yv6xiCQAd2MlYviyLueyE5P8H7ABGF++50xELq5fbQEriABoV8n2yspr60qsL+z3GWPudd0gIuOwvrQ3CGPMFhG5FGvu0OTq9nfhyFLaHtjpZnuHcvul2b9r08N4BPgLVoKNBXZCFXc9NR4nIhOxgpWjWHPf3hSR6eV6ktPs3/XqNa1CY7wv6vIed/xNo40xGW62e4OjTpU9j/ZVHHOmMabGa16KSAjwgX03Ffi3iHxlXBInKaWUp+nSBEqppsQReEk9ztED67NtrptArrO9vb62YPX0DRaRSDfbJ3rgMcDKuAdWco/yyg8NawiV/T1KqNgb6rDa/j2p/AYR6YU1h2m3Sy/UUvv3jNpUzFhLKUzHuij5kx3ENCh7aOMHWHMoJwPvYSXVua3cro7ndLK7ZQI8oDHeF46/Y4X3sohEAEPdHON43sd5qA6e4Hwe9giA8ia5Kavr83gKa1j3w8BFWBlZP5JKluNQSilP0GBOKdVoRORiETmpknWw2mOlSAcru15dJdq/y3x5s7+AvoYHRiQYK63+R1hDuO523SYiQ7CGinpCov17UrnHGIY1J6deRKS7WOuSRbvZJsBd9t3yf48UoEslp33T/n23iMS5nM8fK2mIH1YmUIdvsJ7nGe56TcXNuoAOxpjfsOb5GWCuiDR0gPsWVjB6ozFmPXANVs/lf8RlLUJjzEqsbJZDqRjoISKxdi9OXSXavyeVO69H3he2r7B6qGba72lXd1M6lNTV81iB7tMiUmH5EbHW62vUQM8YkwTMw+rJ/Hu5+pyJ++D3K6xe5etE5BR35xWRcSIS5nL/XKz3w2LgHnse5WNYwd3THngqSinllg6zVEo1pjFYQ8AOicgirJT0YH3ROhUrscVXwKd1fQBjzCER+RDryvgaEZmLFXSdhJVqfA3uexVq63as3plbRWQM1pf3DljZOr/HmmNWm+QX7ryDNaTvGRE5ESuhQm+sNbY+By6s5/mjsdYle1xEFmMNTc3ESlQxGasX8wilyT4c5gMXicg3wCqsL/C/GmN+Ncb8LiKPYa2PtkFEPsVK3z8Da5HyRcDjjhMZaw2387HmT74vIldj9YyEYCWYmEIVbZUxZpm9xtc84HsROcsYM68Wr8HlIjKpkm1rjDFfAojIDcDpwGfGmJftx860159bAnxgrz+Xah97CVZyjYfsL/oLsXo4e2P15vWjNCirrYZ+X2CMyRCR67CWEPldRFzXmRsC/IIVCJW4HLPFXmfuTWCjiMwBtmFlhO2K1dOVjPXcG9N1WH+jZ0RkGtYaeb2As7EuJpzuurOd9OgcrPmY34nI71ifGzlYFzFGYf1vdAByxFo4/XWsoZV/ckm0cjdwPHCNiMw3xrjrSVVKqXrRYE4p1ZiexPriORUYjLV4cQhWT89CrAWK33eTybK2/oKVivxCrC9yyVjzq/6N+6FptWaMOWz3xjyElVFwDLAVuBYreDmL0nlHdX2MA3ZPxiNYw91OxhrieS3WGlb1/dK+GesL7TSsDIwXYi2SnIPV4/Qg8KwxJrnccY7U7FOwnrsfVgr9X+163yYiq7F6Qv6M9WV+J9aX2yeNy4Lh9v4rRGQoVoA8AytgyLTr8O/qnoQxZrUdkP0EfCMi5xpjvqvha3BZFdveBr4UkRHAo1gLpZfJUmqMWSUit2AFxW9hJ4oxxuy2F56+1S77O9bFhESs/4MjNaxfBY3wvnA8znsicgz4l33OfKy/8TisXlYo9x43xrwrImuxLgCciPXeygYOYF2k+cgTdasNY8x2ERmL9XpNxerRXIf1d4mjXDBnH7PO7pG8CStInoUVuB7EGrp5D3BURAKBD7F6Ks81Lgui2wlZLsYKBF8XkZXGmMQGeZJKqRZL6v+dSSmllCsReRC4E5hujGnUbItKNTR7yOwurMXlO1S3v1JKqYajc+aUUqqORKSjm7IErGyax7CGoinlk0QkxnVemF0mWD2sXbGWEFFKKeVFOsxSKaXqboWI7MCaa5aNNW/pVKwLZVcbY/K8WTml6mksVjbGuVjDQyPssqFYC3Tf662KKaWUsugwS6WUqiMRuQdr3k081kLWaVjJO54wxiz0Vr2U8gQR6Q48AEzAmlsWACQB3wIPGWMqW4hbKaVUI9FgTimllFJKKaV8kM6ZU0oppZRSSikfpMGcUkoppZRSSvkgDeaUUkoppZRSygdpMKeUUkoppZRSPkiDOaWUUkoppZTyQRrMKaWUUkoppZQP0mBOKaWUUkoppXyQBnNKKaWUUkop5YM0mFNKKaWUUkopH6TBnFJKKaWUUkr5IA3mlFJKKaWUUsoHaTCnlFJKKaWUUj5IgzmllFJKKaWU8kEazCmllFJKKaWUD9JgTimllFJKKaV8kAZzSimllFJKKeWDNJhTSimllFJKKR+kwZxSSimllFJK+SAN5pRSSimllFLKB2kwp5RSSimllFI+SIM5pZRSSimllPJBGswppZRSSimllA/SYE4ppZRSSimlfJAGc0oppZRSSinlgzSYU0oppZRSSikfpMGcUkoppZRSSvkgDeaUUkoppZRSygdpMKeUUkoppZRSPkiDOaWUUkoppZTyQRrMKaWUUkoppZQPCvB2BarSpk0bEx8f7+1qKKWUagQrV648aoyJ83Y9akNEYoDXgUGAAa4AtgIfAfFAInCBMSZVRAR4FjgFyAEuN8asss9zGXC3fdoHjDFvV/fY2kYqpVTLUFX72KSDufj4eFasWOHtaiillGoEIrLH23Wog2eBOcaY80QkCAgD7gTmG2MeEZHbgduB24AZQG/7ZwzwEjBGRFoD9wAjsQLClSLytTEmtaoH1jZSKaVahqraRx1mqZRSStWBiEQDxwNvABhjCowxacCZgKNn7W3gLPv2mcA7xrIUiBGRDsDJwDxjzDE7gJsHTG+0J6KUUspnaTCnlFJK1U13IBl4S0RWi8jrIhIOtDPGHLT3OQS0s293Ava5HJ9kl1VWXoGIXCUiK0RkRXJysgefilJKKV+kwZxSSilVNwHAcOAlY8wwIBtrSKWTMcZgDZ30CGPMq8aYkcaYkXFxPjW9UCmlVANo0nPmlFKquSgsLCQpKYm8vDxvV8XrQkJC6Ny5M4GBgd6uSn0lAUnGmGX2/U+xgrnDItLBGHPQHkZ5xN6+H+jicnxnu2w/MKlc+cIGrLdSSjUobfPqpi7towZzSinVCJKSkoiMjCQ+Ph4rqWHLZIwhJSWFpKQkunfv7u3q1Isx5pCI7BORvsaYrcAUYJP9cxnwiP37K/uQr4G/i8iHWAlQ0u2A70fgIRFpZe83DbijMZ+LUkp5krZ5tVfX9rFGwyxFJEZEPhWRLSKyWUTGiUhrEZknItvt363sfUVEnhORHSKyTkSGu5znMnv/7XYaZqWUl8xevJsDabnerkaLkZeXR2xsbItv1ESE2NjY5nS19h/AeyKyDhgKPIQVxJ0kItuBqfZ9gO+BXcAO4DXgWgBjzDHgP8By++d+u0wp5QXbDmfy8Yp91e+oKqVtXu3VtX2sac+c11IvK6U873BGHvd+s4kPl+9jzg3He7s6LYY2apbm9DoYY9ZgtWvlTXGzrwGuq+Q8bwJverRySqk6eW/pHt5btpfzR3RuVp9XjU1fu9qry2tWbc+cpl5WqvkpKrHyMaTmFHi5JkoppVTTciynkKISQ25hsberolS1ajLMstFTLyulGpbVQQD+etWsRUlMTGTQoEE13j8+Pp6EhAQSEhIYMGAAd999d3MaHqmUUm6lZlsXOtNzC71cE1UfdWnzjjvuuDJlQ4cOrdU5ynvooYfqXJ+aqkkw16ipl3UNHaUaXkmJ9ftAun4xV1VbsGAB69ev548//mDXrl1cffXV3q6SUko1qGN2MJeRW+TlmqjGlpmZyb59Vt/T5s2b630+12CuodQkmHOXenk4duplgFqkXnZXXoauoaNUwysoLvF2FZSXFBUVMXPmTPr37895553H999/z1lnneXcPm/ePM4+++wKx0VERPDyyy/z5ZdfcuzYMbKyspgyZQrDhw8nISGBr76yEjb++9//5plnnnEed9ddd/Hss8829NNSSimPcUxByMjTnjlfV9s274ILLuCjjz4C4IMPPuDiiy92bsvLy2PWrFkkJCQwbNgwFixYAMDs2bM555xzmD59Or179+bWW28F4Pbbbyc3N5ehQ4cyc+ZMAIqLi/nrX//KwIEDmTZtGrm59U9EV20CFE29rFTzU6jBnFfd981GNh3I8Og5B3SM4p7TB1a739atW3njjTeYMGECV1xxBRs3bmTLli0kJycTFxfHW2+9xRVXXOH22KioKLp378727dsZMWIEX3zxBVFRURw9epSxY8dyxhlncMUVV3DOOedwww03UFJSwocffsgff/zh0eeqlFINxRhDirNnToM5T/ClNu/cc89l1qxZ3HzzzXzzzTe89957/O9//wPghRdeQERYv349W7ZsYdq0aWzbtg2ANWvWsHr1aoKDg+nbty//+Mc/eOSRR3j++edZs2YNYA2z3L59Ox988AGvvfYaF1xwAZ999hmXXHJJvV6LGi1NgKZeVqpZ0WCu5erSpQsTJkwA4JJLLmHx4sVceumlvPvuu6SlpbFkyRJmzJhR6fGO+ZbGGO68804GDx7M1KlT2b9/P4cPHyY+Pp7Y2FhWr17N3LlzGTZsGLGxsY3y3JRSqr5yCoopKLLaSO2Z8321bfNiY2Np1aoVH374If379ycsLMy5bdGiRc7Aq1+/fnTr1s0ZzE2ZMoXo6GhCQkIYMGAAe/bscVuf7t27M3ToUABGjBhBYmJivZ9jjZYm0NTLSjUvrsFcSYnBz08ToTSmmlxNbCjl0x6LCLNmzeL0008nJCSE888/n4AA901DZmYmiYmJ9OnTh/fee4/k5GRWrlxJYGAg8fHxzuQoV155JbNnz+bQoUOV9vIppVRT5JgvBzpnzlN8rc278MILue6665g9e3aNHyc4ONh529/fn6Ii9++d8vt5YphlTXvmlFLNSEFRab4ixzIFqmXYu3cvS5YsAeD9999n4sSJdOzYkY4dO/LAAw8wa9Yst8dlZWVx7bXXctZZZ9GqVSvS09Np27YtgYGBLFiwoMxVyLPPPps5c+awfPlyTj755EZ5Xkop5QmuS/ZoNkvfV5c27+yzz+bWW2+t0H4dd9xxvPfeewBs27aNvXv30rdv3yofPzAwkMLChn0faTCnVAvk2jNXrMFci9K3b19eeOEF+vfvT2pqKtdccw0AM2fOpEuXLvTv37/M/ieeeCKDBg1i9OjRdO3alVdeecW5/4oVK0hISOCdd96hX79+zmOCgoI48cQTueCCC/D392+8J6eUUvVUtmdOgzlfV9s2DyAyMpLbbruNoKCgMuXXXnstJSUlJCQkcOGFFzJ79uwyPW3uXHXVVQwePNiZAKUh1GiYpVKqecnKL+3+LyopAfQLd0sQHx/Pli1b3G5btGgRf/3rX8uUVTWWv02bNs6rneWVlJSwdOlSPvnkkzrXVSmlvMG1Z07nzPk2T7R58fHxbNiwAYCQkBDeeuutCvtcfvnlXH755c773377rfP2o48+yqOPPuq87zgXwM0331yj51Ed7ZlTqgVKcbnyqD1zasSIEaxbt67eGbUANm3aRK9evZgyZQq9e/f2QO2UUqrxHMu2Arj2USE6Z66Z8mSb1xRoz5xSLdCxrNJgLrewmBjvVUU1AStXrvTYuQYMGMCuXbs8dj6llGpMqdkF+PsJnVqFas9cM+XJNq8p0J45pVqglOx85+2fNh32Yk1aFkda/5ZOXwelVFOVmlNATGggMaGBmgClnvSzvvbq8pppMKdUC+Q6qTssSDvoG0NISAgpKSktvnEzxpCSkkJISIi3q6KUUhWk5RYSHRpIVGig9szVg7Z5tVfX9lG/xSnVAn255oDzdlRoIPG3f8f7fx3D+J5tvFir5q1z584kJSWRnJzs7ap4XUhICJ07d/Z2NZRSqoKM3EKiwwKJDg3kWFYBxpgKa5Wp6mmbVzd1aR81mFOqhVu03fqg/Wzlfg3mGlBgYCDdu3f3djWUUkpVIS2nkDYRQfRuF0F2QTFJqbl0aR3m7Wr5HG3zGo8Os1SqhSkpl71yw4EMAIID9eNAKaVUy5aWW0B0aCADOkQBsOlghpdrpFTV9NubUi3Miwt3lLm/ck8qAHkFxd6ojlJKKdVkpOcUEhMWRN/2kYjApgMazKmmTYM5pVqYJ+Zuc1vevU14I9dEqeZBRBJFZL2IrBGRFXZZaxGZJyLb7d+t7HIRkedEZIeIrBOR4S7nuczef7uIXOat56NUS1VcYsjIKyI6NJCwoAC6twlns/bMqSZOgzmlFAChQf7eroJSvuxEY8xQY8xI+/7twHxjTG9gvn0fYAbQ2/65CngJrOAPuAcYA4wG7nEEgEqpxuHI9BwdGghA/w5RrNyTyvbDmd6sllJV0mBOKQVAgJ9m61LKg84E3rZvvw2c5VL+jrEsBWJEpANwMjDPGHPMGJMKzAOmN3KdlWrRHOvKxYRZwdzl4+MpMYZZs5d7s1pKVUmDOaVamC6tQ92WF+tSMErVlQHmishKEbnKLmtnjDlo3z4EtLNvdwL2uRybZJdVVq6UaiRp5YK5UfGtuWRsN/an5ep6aarJ0qUJlGph9h3LBSDI34+C4hJn+RadF9AgcguK2Z+WQ6+2kd6uimo4E40x+0WkLTBPRLa4bjTGGBHxyDdBO1i8CqBr166eOKVSypaWUwCUDrMEiAwJwBjILigmIli/NqumR3vmlGqhOrUq20P3ycokL9Wkebv4taVMfepX8go1W2hzZYzZb/8+AnyBNeftsD18Evv3EXv3/UAXl8M722WVlZd/rFeNMSONMSPj4uI8/VSUatHSnXPmgpxlEcFWYJeZV+iVOilVnRoFc5qpS6nm58S+bcvcP29EZy/VpHlbsy8NQIO5ZkpEwkUk0nEbmAZsAL4GHO3cZcBX9u2vgT/bbeVYIN0ejvkjME1EWtnt6TS7TCnVSNLLJUABq2cOIDOvyCt1Uqo6temZ00xdSjUjt07vW+Z+bHhQJXsqT8gvKql+J+WL2gGLRGQt8AfwnTFmDvAIcJKIbAem2vcBvgd2ATuA14BrAYwxx4D/AMvtn/vtMqVUI0nL0WBO+Z76DP49E5hk334bWAjchkumLmCpiDgydU3CztQFICKOTF0f1KMOSqlaGtgxinZRIYQEll2KoFAzoDSoAg3mmiVjzC5giJvyFGCKm3IDXFfJud4E3vR0HZVSNZOVX0RwgB9BAaV9HaXBnA6zbAhbDmUQFxFMbESwt6vis2raM6eZupRqJopLjNtlCIpKNNhoSCWaCU0ppZq0nIIiwsslOYkMccyZ0565hjD9md847+Ul3q6GT6tpz5xm6lKqmSgsLiHQv+J1HO2Za1gl+vIqpVSTlpNfTGi5USuOnrmsfA3mPM3xmu4+mu3lmvi2GvXMaaYupZqPohJDgL+bnrli7ZnztBKXCE575pRSqmnLKSgmLKh8MKfZLBvKofQ8b1ehWag2mNNMXUo1H8YY9qTkcDQrv8K2Iu068jjXdfx0wVmllGracgorBnNhgf6I6DDLhnA4wwrmdP2++qnJq9cO+EJEHPu/b4yZIyLLgY9F5C/AHuACe//vgVOwMnXlALPAytQlIo5MXaCZupRqdHtScgBYvCOlwrZC7ZnzuOIyPXNerIhSSqlq5RYUERZU9quxn58QERygwVwDOGj3zLlmD1W1V20wp5m6lGo+cqtY66xI58x5XJEOs1RKKZ+RnV9Mh+iKgUVUSKAGcw3A0TOnwVz9aL+mUi1I+fT4b80axeH0PN5ZskezWTaAMj1z+vIqpVSTlltYTGi5YZZgJUHROXOe55gzp5c660eDOaVakIJyQylP7NsWgA/+2KvZLBuAa4CsPXNKKdW05RQUVZgzB+gwywbiGGaZV8WoIVW9mq4zp5RqBipbuLqg2LByT2qZ7Iuq/lx75lbvS/NeRZRSSlXLymZZsZ8jMiRAlyZoAI5hlrkFGszVhwZzSrUg+UXuPzA3H8wgK7+I695f1cg1at5c5yH+68sNXqyJUkqpqhhjyHWzNAFYyxPoMEvPc/bMVfLdRNWMBnNKtSDZ+dYH5luzRrnd/sOGQ41ZnWavWHs6lVLKJxQUl1BUYtwGc1GhAWToMEuPyi0odi6TpD1z9aPBnFItiGP5gR5twr1ck5ZB1+5TSinf4AgoQt0Ms4wODSQ9t1DXC/WgpFRrqaQeceHkF5XoNI960GBOqRbEMWcu0F//9RvDN2sPeLsKSimlaiDHDubc9czFhAZRXGJ03pwH7T1mBXN92kYCOtSyPvQbnVItiKNnLihA//Ubw7Pzt3u7CkoppWqgqmDOsQ5aWo7Om/OUfXYw17tdBKBDLetDv9Ep1YL866uNQOU9c/5+0pjVadbKD8cZ0a2Vl2qilFKqOjkFVq+bu2yW0WFWMJeeq8Gcp+xLzSU00J/OrUIByKsk27aqngZzSrVAwZX0zGnCDs8pv6bf5H5tvVQTpZRS1alJz1yGBnMes+9YDp1bhTrnKGrPXN1pMKdUCxSgPXANLr/cVUad3K2UUk1XaQKUKoZZajDnMftSc+nSOozQQOv11oXD665iX7JSqtnZk5LNvmO5zvs6nLLhlV+gXWM5pZRquqpMgKLDLD3uSEYew7rGEBJo9SvlajBXZxrMKdUCnPD4wjL3RcoGc11bhzkzSxljKmxXtVc+mCvWlNZKKdVkOebMhVeyNAFoAhRPysovIjI4wNkzp8Ms606HWSql+Oq6Cc7bR7MKvFiT5uPTlUll7j+nmS2bLRHxF5HVIvKtfb+7iCwTkR0i8pGIBNnlwfb9Hfb2eJdz3GGXbxWRk730VJRqcdYnpfPw95vJtpcdcDfMMjTQnyB/P+2Z85Ci4hLyi0oIDw4gRIdZ1psGc0q1MH3sNMCuWoUHOW9rEhTPWJ54zNtVUI3nemCzy/1HgaeNMb2AVOAvdvlfgFS7/Gl7P0RkAHARMBCYDrwoIhW/USqlPO7JeVt55dddfLHGWhfU3TBLESHKXjhc1V92vhW4hQcHOINnHWZZdxrMKdXCbDucVeX2wmJND+wJCZ2ivV0F1QhEpDNwKvC6fV+AycCn9i5vA2fZt8+072Nvn2LvfybwoTEm3xizG9gBjG6UJ6BUC9c+KgSAtfvSAAgJcH8dJTo0gPRcHbniCVnOIa3+mgDFAzSYU6qFGd8z1m35xF5tAA3mPKVr6zBvV0E1jmeAWwHHP04skGaMKbLvJwGd7NudgH0A9vZ0e39nuZtjyhCRq0RkhYisSE5O9uDTUKplyrSHV07u15Z/ntQHv0oShMWEBWnPnIc4hrSG65w5j6hxMKdzApRqHuIig92WXzy6KwCFxTrM0hPcXWX8fcdRL9RENRQROQ04YoxZ2ViPaYx51Rgz0hgzMi4urrEeVqlmKyO3kKFdYnjz8lH8Y0rvSveL1mGWHpNlB3MRLnPmcgv1QnJd1aZnTucEKNUMBPq7/7cP9LeuRmrPnGfk2dkszxza0Vn22m+7vFUd1TAmAGeISCLwIdbwymeBGBFxpMTrDOy3b+8HugDY26OBFNdyN8copRpQem6hM1tlVWJCAzWbpYe49swFB+jSBPVVo2BO5wQo5bs2Hcgoc7/yYM4q12DOM/Ltq4xPXTDUWeanSz40K8aYO4wxnY0x8VgXK382xswEFgDn2btdBnxl3/7avo+9/WdjjLHLL7JHtnQHegN/NNLTUKpFq2kwpwlQPKc0mPPHz08ICfQjX4O5Oqtpz9wzNOKcAKWU5/yyrey8miB/9wGFI5gr0myWHrHxQDpQdoH2+VuOYHS9uZbgNuAmEdmB1f69YZe/AcTa5TcBtwMYYzYCHwObgDnAdcYY/WajVCPIqGEwFx0aSGZekWZ89gBHNsuIYGsAQ3hQABl5RVUdoqpQ7aLhrnMCRGRSQ1dIRK4CrgLo2rVrQz+cUs1e9zZlE3FUO8yySHvmPGHupsNuy5cnpjK6e+tGro1qaMaYhcBC+/Yu3Iw8McbkAedXcvyDwIMNV0OlVHnGGDLyimo2zDLM2icjt7DMcj6q9rILSodZAnRuHca+YznerJJPq0nPXKPOCdDJ3Up5Vma5q12VjUsPcAyz1KuODaqSWFoppVQjy8q3etpq2jMH6FBLD3BNgAIQHxvG7qPZ3qyST6v2a4XOCVDKt5VveN5bttftfkGOYE575jxiav+2DOgQVaE8uJI1jJRSSjUuR/sYFVrtQDVnMJemwVy9ZecX4e8nzuQn8bHhHEjPJb9IR5fXRX2uEeucAKV8QH4Ng7MAe5hlUYkGc56QlV9EeHDFwE2nzCmlVNPgCOZqM8xSe+bqLzu/mLAgf8ROCta9TTjGoEMt66j6SxEudE6AUr6npg2PYy7dLh3q4BE5BcW0djOvokSjOaWUahIycq3hflG1GGaZllPQoHVqCbLyi5xDLAG6xVpz+3cfzaFX20hvVctn6ewNpZq5V38tu7bZK5eOcLufI+viY3O2smRnSoPXq7nLyi8iPKji9bJiDeaUUqpJqE3PXHSodXEuQ3vm6i07v8iZ/ASsnjmARL2YXCcazCnVwsRFBrstd12w4OLXllKiiVDqJSe/2O0wS31dlVKqacioVTDn6Jkr1CVm6imrXDAXExZEVEgAe+1hllsOZbA/Lddb1fM5Gswp1cwd17tNjfYrv551oc6dqzNjDIcy8kjLqXgFV2M5pZRqGmrTMxcU4EdooD9PztvG2IfnN3TVmrXs/CIiyl3sbBMZzLHsAgqLSzj1uUVMeORnPl+V5KUa+hYN5pRq5vIqWYqgvNDAsh+s6W4CEVUzyVn5AG5TLReXGPakZHP9h6t5et62Gv99lFJKeVZ6biF+gtsh8e44kqAczshvyGo1ezkFxRVe81ZhQaTmFLAnJdu5MPvqvWleqJ3v0WBOqWZueWIq7aLcD6101TYqpMz9Wz5d11BVavYcQ3f+PrlXhW0lxnDC4wv5as0Bnp2/nVd+2VVhH6WUUg0vPbeQqNBA/Pyk+p2p+cVRVbWM3EIiQtwFc4VsO5xVul9ew11ULigq4YvVSc1i6oMGc0q1AIcz8vnsmnH0bRdJ//YV1z5z55dtyQ1cq+YrO99q8CNDKl7tLZ/NsiHTXJeUGHIL9MuHUkq5k5FXWKMhlg6pLiNWNLCrm6LiEg5n5tMhuuwF5FZhgaTlFLDtcCYi0LttRIO2j9+uO8CNH61lyS7fT/imwZxSzVhRcem8txHdWvPjjccTGlSzRavdLXitasbRyIe4WSC8uNxVwA0H0husHh8s30v/f8/RdZGUUsqN9NzaBXOuNKtl3RzOzKe4xNC5VViZ8lbhQRzLLmD7kSy6tAqjXVSIx1/jA2m5PP7jFh7/cQu/21m71+xL8+hjeEOt1plTSvmWnHpcOTxjaEcP1qRlcSzUHhxY8XpZiTEM6RLDWrsBOZrVcHMv/rdkDwBJqTlEh0Y32OMopZQvqm0w9+5fxvDSLztYvCOFjLzCCtMTVPWS7IyVnWJCy5S3Cgsiv6iE9Unp9GkXQVCAHwfTPZfRcuuhTM596XdyCoooMaVJ39YnNdwF1caiPXNKNWM5+XUP5h75YUutj3n+5+08//P2Oj9mc5FjD20MsZPKvHPFaM4b0RmAkhLKpLUe0bWVxx8/PaeQ7PwithzKBOCerzZ6/DGUUsrXpecWEhVS82BuYu82/PW4HvaxRQ1VrWbNseRA51blgznr77D3mLVweHRooEdf4//+vB0BFtw8iR5x4Tia4fX7NZhTSjVh2QWN29g8MXcbT8zd1qiP2RRl51uve4S9js7xfeK4fHw8YM3RWOdyJbD8sMv6KigqYcj9cxl4z4/OsjQdDqSUUhVk2AlQasPRk9eQyTmaq5s+XsNNH68FoGO5nrmYsCDn7d5tI4gKCfTYa7z7aDbfrz/In8Z2pVtsOBeM7AJYSzftT8tlg48HdBrMKdWMOZJfPHvR0AZ/LE8HJb4ot6CYmz5e47zSF+GyKKq/nS3N0ZA55Bd7bj2/695fRZ+7f6hQfqHdcCmllLIYY8jILar1nDlH8Kdz5mrv81X7AYgKCXCOXHFoHV4azPVpF0lUaCAFRSW1TjSTmVfIm4t2l5nC8NicLYQE+vOXid0B+PO4bvznzIE8ecEQ2kUF848PVpNf5LsJbTSYU6oZc1zValfHcf3G1DxAc9cLuHRXCpkt6Opl/3/P4fNV+5n9eyIA4W6COVf92kdSWOSZYG7D/nS+W3fQ7TbNuqaUUmXlFZZQUFxS+2AupG7B3Id/7OVXlyzRn65MYvITC3lqXssYzeKakC0jr+L3BccwS4CebcNrFTTvTcmhqLiE9JxCznphMfd/u4lTn/uNQ+l5rN6byg8bDvG3E3rSNtL6LhQWFMCl4+JpGxnCfWcMYvfRbJbuOlbj55KdX8Sh9Lwa79/QNJhTqhnLsMeb12ZOgKvC4poHc1nlPpzX7kvjoleXknDv3Do9dnMQHFD6EetuGaOgAD8KPNQzV9W4/yfnbePuL9d75HGUUqo5cGT5rX3PnHWRzl1AUpXbP1/Pn9/8A7BGstz1xXoOpufx/M/bm0VGxeocyigNfmLCKr7mreyeuS6tQwkLCnD+XarLxrzjSCbHP76AS9/4g9m/J7IzOZt7Tx/A4Yx8vlyzn+d/3kGrsEBnr1x5k/rGERzgx8KtR2r8XM558XfGPjy/xvs3NA3mlGrGHD1zjsanOu9cMbrM/doEGpnlGrbdR7Odt+Nv/67G52lOREojOD/7tiOD1zMXDiXI34+CGvTMZecXcepzv7FqbypFxSW8tXg38bd/53xdNx/M4I7PrWDtl1smMeeG4yqc492le2tV9zkbDrH5YEatjlFKKV9R12AuOMCfkEC/WvXMuU5DSMspIDElm/yiEm6b3peYsCBmL95dqzr4ov2pVuKTv5/Yiy+unVBhe4z9d+jdNhKgxsHc9+sPAbBkVwpP/7TNmqM+oTsDO0bx5NytzN9yhFkTupcZKeMqJNCfsT1ieWtxImc8v8g5570qWw9bycWayjquGswp1Yw5GpuaTvAuPyG5NkMAs/LLfuCWn7h8JKPpDEnwBscwy/1puQQH+HHWsE4E+vtRWIOAedXeVDYeyOCcF3/n1k/Xcd83m8psv/i1pc7b7aNDnI1heSUlpkZDZ1fuSeVv765kxrO/VbtvSyciISLyh4isFZGNInKfXd5dRJaJyA4R+UhEguzyYPv+Dnt7vMu57rDLt4rIyV56Skq1COm5tbvY6SoqJLBW63emZJfO31q8I4UtB61gYGR8a4Z3jWFTC7hw5shiec7wTnRvE15he4C/H33aRTC2R2vAmlcH1Sea+WHDIUZ2a8XzfxrG6PjW3Di1NwBT+rejsNgQ5O/HZXYCssqcktAegHVJ6dX2kroOr3Q8J3dqM02lvjSYU6oZy8grQgQigmrWWAX5l/1IqEmg4VC+Z+5YdkGZ+6v2ptb4XM2Rn0svnWP4ZVBAzXrmLn3jD+ftz1fvL7MtI6+QtJzSxi44wB9/PyHxkVNJfOTUMvv2uPN7RjzwU7WP98XqpGr3UU75wGRjzBBgKDBdRMYCjwJPG2N6AanAX+z9/wKk2uVP2/shIgOAi4CBwHTgRRGpuOq8Usoj6tozB9YF0tpkWjySURrMLdpxlC2HMvD3E3q1jWBAhyh2Jmfz1Zr9fLR8b62CRF/i6Jkrf9HY1Y83HO9c+qG6nrkthzL4Zu0BNh/MYEZCB04b3JGP/zaOYfZyP2cO7UhcZDBvzRpV7d/4gpFdWHDzJABWV/Nd5Y/E0rl1VQVz9369kZmvL610uyfpouFKNWMZuYVEBgfg527ClhsB/mX3y69Fz1x2uTXt3vit7LCRkEB/Ln1jGRsPZLDqXydVOP7bdQeICgnk+D5xNX7Mpuznf55Q5r7r38Ax1yIowK9Wr7E7g13mJH77j4nV7l8+yHanLl9uWipjXX7Nsu8G2j8GmAz8yS5/G7gXeAk4074N8CnwvFjjcc8EPjTG5AO7RWQHMBpY0vDPQqmWJ6MewVx0aKBzTnpNJNuZFcOC/Fm/P432UaF0bxNOSKA//TtEUVxiuP7DNda+mfn8fXLvWtepqduflkubiOAKWSxduU5NKE2AUvF1fuWXnTxsr4Xbv0MUM8d0rbBPz7gIlt81tUZ1ExG6twmnV9sIVu9Nq3LfVXtKg72k1By3+xQWl/DF6v1k5ReRmVdIZB3zFtSU9swp1Yxl5NVuDZ3AevTM3eWSYMMYQ2a5ceclxvDb9qMcyy5wu4zB399f7Zwc7ovKP6fy4/P9pWJAXVUClGW7Unhszhb2pGRX2DawYxQ9yg1T+ebvExnUKbpGda3uyq9jvmP7KrKglpQYXliwQzNlAiLiLyJrgCPAPGAnkGaMcfwTJAGd7NudgH0A9vZ0INa13M0xSikPq1fPXEhArXrQku2euUl949h2KIv1+9Po194aDj+gY5Rzv9BAfw5WkiUxM6+wzNC9wxl5XPXOikoDiqZmf1ounVpV3itXnmvPXGZeIeMfns/Xaw+QeDSbh3/YwrQB7bh2Uk9euWRElQFibQzrEsPqfWlVDpHcfTSbAR2iCPATZ28jWHMh96ZYf4tlu46RkVdEiYH/+2A1z/+8vUGHXVYbzOl8AKV8V0Zu7a4IlU+fX5sEKK5D/XYmZ1XYfsXsFc7bvryeS2UOlBtuERpUtnFxE8sR5DJnbsuhDN5ymQR/8WtLeXHhTk54fGGF416cOZx3rxxTpiyhs/tA7tFzE3jgrEFlyi5/q/Kg+bOVSc4J5YEBlffo9rjzex7/cSv9/jWnxSdKMcYUG2OGAp2xetP6NdRjichVIrJCRFYkJydXf4BSyq29x3IIDfSvU69Jx5hQ9qRk1/gLuqNn7oQ+cRQUl3A4I5/jercBoEurMIZ2ieE/Zw2ia+swkjPzKxz//rK9JNw7l8/sddqMMVz73irmbjrMt5UsSdPUJGfm0y4yuMb7B/r7ERUSwKGMPOZsOMSB9Dx+WH+QuZus9unfpw/g1un96Bob5rE6Du/WimPZBexJqTxA3pOSTY+4cDrGhJKUmsvGA+n8sfsYd36xnuMfX8Bjc7bw4fK9zukUC7Yms2F/RpleR0+rSc+czgdQygftTM7ip81HiK7F5O7W4UE8cf4QHjknAYDCorpdSZr61K9Vbs8vLBskpmRVbLwAHv5hs8/01mWV64mMrCRzlivXbJbTn/mN+77ZRG5BMbd+upbynZfz/3kCZw3tyLt/GUO32PAy8w4+vnpcpY9x4aiuXDK2W5myqoaR/LCh9ItBZl4RWw5lODOtrU9Kd9sTN+PZ38qsIdRSGWPSgAXAOCBGRBxvgs6AY7LjfqALgL09GkhxLXdzjOtjvGqMGWmMGRkX1zyGJCvlDev3pzOoU5TbNUCrM6BjFBl5RSSlVj5nytWRjDwiQwIYbs/nEoHJ/doB1hD8L6+bwKVjuxEXGewM/BzScwr511cbAPh67QEAFmw9wkp7uN+mA75xMS01p4BWYUHV7+iiX4coNh/M4Ks11vNetvsYP248TP8OUXRu5bkgzmFY1xgAVu9zP2+usLiEpNRc4mPD6RQTysKtRzjj+cVc9uYfzNlgBZkvLtzJt+sOOuf+Adx1an+P19VVtd82dD6AUr5pypO/ALUfQnLeiM78Yi9sWlBc8x60wZ2jWZdUca2zs4Z25Ev7g9ghr1zP3CP22HdXv2xL5pVfdgHWVciGvKrlCU+7LPxaPvEIgGvth9sNxkcrrFF1ro3xmn1pfLyiYgKSHm3CeeaiYWXK7jtjICnZBYzu3rra+i267UTmbDjEA99trjBE09Wy3aWTuzPzipj+jJXRclzPNpz+/CIA3v/rmArH5RYWE+nf8kbui0gcUGiMSRORUOAkrIuYC4DzgA+By4Cv7EO+tu8vsbf/bIwxIvI18L6IPAV0BHoDvnElQykfU1RcwqYDGVw8uuJcq5oY0MEaGrnpYAZdWlcfVCRn5dM2MpgecRGEBPrRv0MUcW56qeIig0lMLDu0fl9qDsUlhg7RIfyxO4XcgmIe/3EbXVuH0addZKWBR1NijCE1p9Dt+nJVGdgxiveW7aWouIT42DASU3I4ll3A9VMaZk5h77aRhAf5s2pPGmcP61xh+/7UXIpKDN1iw0jJLmDJrhQm9mrDoh1HAXjhT8PJyCskJSuf607sxejurckpKKrRe6Q+anTJ3u5BWwn0Al6gFvMBRMR1PoBrWhe38wFE5CrgKoCuXev2T6ZUS/fJitKpN0W1WPjbwZHVsqAWPXPuAjmAR84dXCGY23Ekiw7RpT1Ln6ysGLxc5tIjl5pTSOvw2l3Ra2xzNx2uegeXaK78EMlTnitdAsB1mQGHC0Z2dhvMVpdu2VXnVmFceVwPPlu137nWnTuuWUld5wEucFlQ9U+vLatwXEZeUYNP8m6iOgBv2+2kH/CxMeZbEdkEfCgiDwCrgTfs/d8A/mdf0DyGNWIFY8xGEfkY2AQUAdcZY5rfeGSlmoCdydnkFhYzuJLh6dXp1z4KP7EuxJ08sH21+x/JyKdtZAj+fsK/ThvgNjU/WMFccmZ+mQuYjjlxM8d05Ym523ju5+1sPpjBE+cPISUrn582HyYlK5/YiJoPYWxseYUlFBSVEFPLnrkBHaKco1fuO3OQ83vBFRPcLwBeX/5+wpAuMZUGyIn2HPb4NuGc2K8tF4zszNAuMRz/+AKSUnMZ3zPWufg50GgJ3Wp0GbUx5wPoEBKl6u+WT9c5b8/fcqSKPd0rsecB3P/tphrNCahsn9OHdCwzMdmxlotrmmagTCaqBVuOMH9z2cDIl+ZkPXbu4Cq3t4kIIqyGS0W0iQji3tMH8O/TB3qiagBEhwaQnlt5RsuLRlkj/U4b3KFMubveU1fpOc0znXZ1jDHrjDHDjDGDjTGDjDH32+W7jDGjjTG9jDHn26NSMMbk2fd72dt3uZzrQWNMT2NMX2PMD956Tko1Z2v2pXHyM9ZUgMrmGlcnNMifHnERbKzhEMeD6Xm0jbKCrZljujG+Zxu3+8VFBJNfVFJm2L5jKOd5I7oQHRrIK7/sJCjAjxmD2jvT8K/Y07R751JzrDanVa175qy/T0KnaE7oE8f//jKa5XdNJbqW56mN4V1bsflgJmk5FdtJx1y6+Nhw2kQEM6xrK0SEf57UlysmdC8TyDWmWo2JaYz5AEop73Nk09p8MIPud3xf7f7ZBe47EJ48fwgAI7q1YkS3Vvz7NCsoKZ+OP9Ql4Js1ezl/eXtFme0zX6/YE9RUTeztvpFuFRZETFgg/zptQI3Oc/LAdiy+fTKXT+hORA3m39VUdGggyxNTGXzvj263hwb5ExkSUOO5IA7NdW0kpVTz4kgtP7FXG7rHVj7kvDp920ey40hmtfvlFBRxID2XnnER1e7rGHrpmgRlf1ou4UH+tIsK5tKx3SgxcFyvNoQHBzC0SwwRwQF8tWY/932z0W0A0hQ4grnaDrPs3S6C7m3CnaNQjusd53Z4qiedPqQjxSWGNxbtrrAtMSWb8CB/2kSUDdrOGtapxm17Q6hJNss4EYmxbzvmA2ymdD4AuJ8PAC7zAezyi+xsl93R+QBKNYpXLx1R62MC/Ws3P+2o3fCU/6AOsrM5fXbNeD67ZjxhwVbQ9vD3m8vsVz55iC9zZLAqL9DfjzX/nsaZQ0tHl99yct8y+7g2EMeyCwgO8HyOKMdkf2vyfsWMXbkFxYQF+TPQJV22q2cuHOq2fGyP6uftKaWUt6XlFiICb18xusZrsLrTuVUoB9LyKHGz1I6rXcnZGAO921YfzLWJqBjMJaXm0rlVGCLCZePjaRcVzPkjrflcQQF+HN+nDd+vP8RbixP5polmtnSM3KjtMMtAfz8W3DyJ80ZUnL/WUPq2j+TUhA68sWg3P28pO0oo8Wg23WLDm9wc/pr0zHUAFojIOmA5MM8Y8y1wG3CTPe4/lrLzAWLt8puA28GaDwA45gPMQecDKNUgymcbrM06cw61ze61eKc1+bequVgAUfacqvJr0LnO03K18b7SFUzib/+O6z9cXat6NaaecdYV3tpk67pwVJcy949mlV5VfeqCoR6pV3mOZQcAFu84yk0frSnzZSS3sJjQQH+umFg6J8Exv2NAhyjOGtaJ32+fzFfXTXBun3PDcU2ucVNKKXfScwqICgmsUxZLV51iQikoLuFoJdmYHbYdtnrvereLrPaczp45l3PuTy1dny0uMphld05l+qDSYfBT7KyYANsPV99T6A2pdjBX22yW3nLnqf3pFhvOVe+sLBNY70nJIb5NwyYzqYtqgzmdD6CUb9lxpOwab7mVDIGsSm0zYN71hZU2uUsNUwWP6xFb5n5mfhFd3WR7Cg8O4OZpfZz3vyqXSKUpGdQpmvjYsFpd6S2/kLgjLfI/Jvdq8OxXALd9tp7PV+/niEtjdTQrHwP0jItgw30nc/+ZAznBnsR99jCrV7FjTChDusQ4j6lqcXGllGpK0nJrn1XRHcfFy/1pVQ9J334ki0B/oVsN1kNzN8wyKTWnygulMxLac92JPenXPrLSRGTelpZbt2GW3tIpJpTHzxtMUYlhgZ13oKi4hH2pOcTXY2huQ2l5eaSVaubKd5AcV8kcrqr0a+9+iF11/ukSeIUFuR8i2LddZIVgMSuvkK6tw3ju4tLU+47slaE1TBbibQVFJc5hpTXlX2446+fXjGfXQ6fwz2l9Kzmi/i53kwFz77HS4ZaLd6Q4J3lHBAfw53HxTBtoXfkd17NsEO6Y6xjuwTl9SinVkNJyCompw4iV8jrWNJg7nEX3NuEE1mDplpjQQKJDA9l4IIPC4hIueGUJGXlFVQaCYUEB3HJyP47r3YZNB63jmpo05zBL3wjmwFoWoUN0CLd+to67v1zP3mM5FBYbDeaUUg1v2a7SdcJGd29NQB3W/qrrBGPXCd5zbzze7T5bD2cyZ6M11K+wuIQXFuxg1d40YsICGebS2/OPyb2s82w8VOb4RduP1qluDS27oBh/v1oGc+UibxGp1xyOmrh0XLcKZRe8sqTM69y5VdmrwON7tmH7gzMY1Kls5rcvr5vArdP71uhLilJKNQVpOQW1nrvljmPo44FqgrnNBzPoU4MhlmAtIH58nzgWbj3CuqQ0/th9jFkT4rmoBuvhDeoUTUFRiXNYZ1OSml1AWJB/g8wDbygi4hyV8u7Svc4RSDXpYW1s2gIr1cw85bJ49ZR+bRv88X61Fxgf1CmqTCDSuZohl5sOZND7rh94/MetgNUwug4tdKyP98xFQ8sc1xQbKrBeh5pkNnPlGsudWm4pgIbSMy6CzfdPr1B+1f9WkltQTKC/cNrgjhW2uwvY+raP5NpJvRqknkop1RA8NcwyKiSQyOAA9leR+fdAWi7703IZ0a1Vjc87uV8cR7MKePVXa5bSPyb3rlFG4+H2MgXLdx+rZs/Gl5brmd7QxnbjSX2474yBTBvQjiW7UgBrjbmmRoM5pZqZqJDSD/3iGqwRVxnHmnBAlcM2/mwv4rlhv7Xezt2n9uf1P4+s/vwuC2UDOKq6/K6pTO3fjr/YCThcFxcHnMFfUxPgJ7UefuFYnP3i0V15uoESnrgTGuTPA2cNqlA+6YkFFBYburSuOpGNUkr5Kk8NswTrIuT+tLxKty9PtAKrUfE1z/Z7Qp+2BPgJP248TL/2kc4pB9Xp0jqMrq3DWLQjpcaP1Vg81Rva2NpFhXDZ+HievGAIN0ztzWXjutG2gZdGqAsN5pRqZs51SeGb0KluC6ICPHPhMG6Y2huAnFokUbnyuB5MHdCu0u2RlVxhXLsvDbCGeL5+2cgyvXx3ntLPOc8ut7C4SfbOxYQFMbIWDTZAgL8fiY+cysPnJNR6vl19XTK2G0vvmFKm7LC9mPuESha0VUopX1ZcYsjIKyTaQ4FFx5jQKufMrUhMJTzIn37tazbMEqz54o5la/p3qN389Ym927B0V0qTmzeXkl1Aq3Df65lziAwJ5IapfbjvzEFNMnOzBnNKNTPGgJ/AirunclzvuDqfJyjAj7aRVpbCyjJipmaXptJ3TV5SlaF2xkZXPeLCee2yynvzrjq+J6v/dZLz/sH0PAqKSihqQg1WbkFRpUlfmqrYCPdfaCorV0opX5aZV4gxeKxnrn10CIfSKw/mVu5JZVjXVrWeu37V8T34z1mDyiQVq4mJvdqQlV/Ef+dvZ8qTC6tNztIY8ouK2XQgg77t6pZYTVVPgzmlmpmC4hKCA/ydi4/Wh2Px8HeX7nG7/fqP1jhvnzGk4jwrd544f0iZ++//dQw//3OScw26yrj21F325h/0ufsHet3VNFY4McaQbS+27UsqS1wSWc3fQimlfJEjq6Kneok6RIWQmlNYYX1XgJISw87krFr1yjmICJeO7Vbt3PPyJvdrS7fYMJ77eQc7k7P5fUfFhGHVLXLuaav3ppFfVFIhG7LyHA3mlGpm8gqLCQ70zL92sf2h//yCHW6312WwQbuoEIa6ZK3sHFPzxuqq43u4LTfG8PvOo17rrXtniRXsOlL6+7KXLxnh7SoopVSDSM2x1zsL9czog3bR1uiVIxkVFw4/kJ5LflEJPVyyPDe0kEB/Hjo7gXD7wuKOI1nkFRZzz1cbOP6xBfzjg9UMf2Ae+45V3lb9uPEQV/9vhbP9r68lO1PwEyu7tmoYGswp1czkF5YQ4qH0v4cyKp/YDZCSXbEBq4m3Z4123q7NkL7bpvdzX/7ZOv702jJnb90Xq5MqPUdWfhHd7/iODfs9t7jqpyutx2uCQ+mr9cnfxjHnhuO4cao1nGdQJx0Ko5RqntJyrZ65aA+td9Y+ygrm3LWVu5KzAWsaQWOa0KsNa++ZRv8OUWw5lMknK/bxtn3B8Zu1B0jLKeS79QfdHltUXMJD32/mx42H+Wnz4XrX5UhGHp+tSiKhU3SF9WWV52gwp1Qzk1fkuZ65yhYPN8YwZ8NBZwbL2goMKI16ajM00d9PKiyCvuNIFr9uKzuU5MaP1lZ6jo+W78MYOO2/i2r8uFVJzy1kvR0Y3n9GxQyRTd2o+Nb0ax/F9VN7s+uhU2o9rEcppXxFumPxag8FFh2iKw/mdh+1gzkvpLIP8PejX/tIth7KZP6WI8THhjHvpuP58roJJHSK5odKgrmfNh9mT0oOQQF+vP17Yr3rcePHaziWXcC/Tx9Y73Opymkwp1Qz89WaAx4b7temkl6zb9cd5G/vrnLef+/KMbU6r+tcrdpmhpo5puyi14u2J7ttSCvreXO9OmjqsXSDw9D755ae20NXe72loRcsV0opb0rOtEaTtPFQennHMMvD6e565rKICA4gzkup7Pu2j+RQRh4LtyYzuV87ggP8GdolhlMSOrA2KZ2k1IrfE5btPkZooD//N7kXv+9M4cM/9vJCJdMsqpOUmsPiHSlcc0LPWq2zp2pPgzmlVKX8K/lyf7Bc9q4JvWqXyj7Q34+JvdrwbLkFwWtiSJeyyy3c+80mt/s9O3+72/KbPynttTvxiYV8t+4gD/+wudb1AHjwu014IB5USqkGl1dYzN5mMK+3Pg5n5BEa6F/pEjm1FRkcQFiQPwfLBXN5hcWsSUqnR1y411LZD3ZZmugkl+WCZgyy1pCds+FQhWM27s9gQMco/jSmG0EBftz++Xoe/3ErRzKrnnLhzldrDgBw1rBOtT5W1Y4Gc0o1MxHBAZzQp+5LErhyHWZ5w4ernbfzCuufZOTdK8dw5tDaf8h3iA7l/yb3qnYh1XmbKo73z8wrLHM/MSWH695fxSu/7KpThq/Xfttd62OUUqqxHc7I45wXf2fykwvZlZzl7ep4zaGMPNpHh3gswBIR2keFcLjc6JDrP1zN2n1pnDa4g0cepy7G9Yzls2vG8c3fJzK2R2nykfg24fTvEMUP5YK5khLDxgPpDOoYRevwIM5xCcKW704FrKGjz83fzscr9lXbZv6w4SDDu8bQpbUO3W9oGsypZiOvsJjRD/7E0l0p3q6KVwX4C91iPfPhGRrkzyVjuwLwpX2VDeCpeduct+88xX1SkoZ007S+rPrXSUS4ubr6txN6VnrcB3/srXRbWm4haTkFDLlvLv/4YDVzNhxkxrO/uU05DZTJmnn5+Hg+umpsLZ6BUko1jqLiEq57bxV7UrLx9xNe/mWnt6vkNYcz8mjr4WGP7aNDKoxWWbknlXOHd+aq4ytvjxqaiDCiW2sSOkdXCF5PGdSelXtS2XY401m2OyWb7IJiBto9evefOYiFN08iLMifZbut71UPfreZp+Zt49ZP1zHukfn83wercedoVj4b9mdwYt+2DfTslCsN5lSz0e9fcziSmc9Fry5t9HVUmgpjDNn5RYR7aAgJQHhQxXP1dMnOVVmSlMaQlV/kvP3HnVP4v8m9uOXkvs51fX7bnlxmf8caQ6//ueIC5Ucy89iwP4P03EK+WXuAv727is0HMyq9OOC6xt29ZwxkTA9dQ0cp1fR8sHwfK/ak8uDZCVw4qgufr9pPtstnZ0tyOCOf9vY8N0/p2jqszDz1vMJijmYV0L1N0+2RunhMV1qFBXLLJ2spLC4ht6CYdUlpAAzqaAVzQQF+xLcJZ0S3VizbdYycgiJ+257M5ePjefrCIXSMCeXrtQc44GZh8sX2+nbHe2iUkKqaBnOqWRj38Pwy93vc+b2XauJdRzLzKSw2lHhwIpe7wPDUhNKhI6FNZKHstlEh3DStL/5+4pxsfekbf7A+qTQRykfL9wEwdUA7Ft8+uczxv2xNpqik4vDR9NzCCmWuggL0Y7SlEpEuIrJARDaJyEYRud4uby0i80Rku/27lV0uIvKciOwQkXUiMtzlXJfZ+28Xkcu89ZyUb3Id5ldUXMInK/ZxxezlpOcU8unKJPp3iOKsYZ0Y3zOWInsx65bGGGMNs4zybDDXq20EKdkFpGZba9glpVrBTVPODNwmIpgHzkpgbVI6Jz31C0Pvn8uLC3bSPiqEPu3Kros3sVcbth7O5N2le8gvKuHkge05e1hnHjt3MADnvPg7t326jq2HMp2Jx+ZuPEyrsEAGdYqu8NjK8/RbiPIJJSXGmXkwOTOfTQcyOO+l3zmSkce+YzkVJh+3VE/O3QrAV6sPVLNnzbkuHeAYWljk0vPpqTXt6sIRVJ41tGOZ8n+fPsB5+/TnF3Hxq0u5/sPVpNiNLUCnmFBmjunqDPwe/mGLc0FZVxsPZBB/+3fMePY3bvhwNWn2Po5RK5vuO9mjz0n5lCLgn8aYAcBY4DoRGQDcDsw3xvQG5tv3AWYAve2fq4CXwAr+gHuAMcBo4B5HAKhUdRZsPcKYh+azaq81bG7MQ/O55dN1/LzlCLN/T2TtvjTn/Kdeba0v6juOtLxgLi2nkIKiEtp6OJjraS8K7giQ99s9VZ1ahXr0cTzt1MEduGJCd/YcyyHAT9h+JIvLJ8QT4O9XYT+AJ37cRpuIYEbFWx9NjvfSoYw8Plqxj1Of+43zXv6de7/eyHfrD3LhqK6VJlFTnlXtWCwR6QK8A7QDDPCqMeZZu/H5CIgHEoELjDGpYg3MfRY4BcgBLjfGrLLPdRlwt33qB4wxb3v26ajmytHTtvn+6Yx68Cdn+eiHyvbIrb1nGkPum0tsNckxmivHMEJPLs4ZHFgarO1MzmZ54jFyXeaR9S53Fa8xvTBzOLMSj1W4+hdcLsBc4jJUcnzP0uGQD56dAED87d8xslsrt+vTvfrrLgA2H8xg88EMerWNoHOrMMKDAjh9SIcKDZ9qOYwxB4GD9u1MEdkMdALOBCbZu70NLARus8vfMdaVqaUiEiMiHex95xljjgGIyDxgOvBBoz0Z5bPeW2otCP3TpsPkFZaQmV/ESzOHc/Mna3lh4Q78/YTTh1gXvLrFhhPgJy2yZ86xhE1D9MyBFSCPjG/tTPnfKaZpB3MA/zqtP9dM6snyxGM8+9N2Lh7VtcI+nVuFMaJbK1buSeW26X2dbZ6IcMWE7ry7bA+j41uzPy2XvMJiZv+eyPSB7bl5Wp/GfjotVk0m1jiuPK4SkUhgpd3QXI515fEREbkd68rjbZS98jgG68rjGJcrjyOxgsKVIvK1MSbV009KNS+u86Ica8S489LM4USHBjK1f9sW21O36aC1iPdD5yR47JwhLsMIT37mV6BsT1hIoHeHWY6Mb+223BHYl/f7Tvdz4FbsKf0oWnLHZMY9/LPb/Z6YW5r8Ze0+92vZqZZHROKBYcAyoJ0d6AEcwroYClagt8/lsCS7rLJyd49zFVavHl27VvzipVqWQ+l5LNhqzQ1euDWZzPxCJvSMZUZCBz5esY8FW5M5bXAH5zyxQH8/usaGtcieOcdQ1HZRnk2A0jEmlOAAP+druj81lwA/oZ2Hg8aGICLERQZzSkIHTkmoPPPm/03pzcKtRzh3eOcy5Xed2p9bp/cl0N+PEmNIySogI6+QPu0iG7rqykW1l5SNMQcdPWvGmEzA9cqjo2ftbeAs+7bzyqMxZinguPJ4MvaVRzuAc1x5VKpK//25dL2w8hmjXM2wP4hCAv3L9By1JI6x+gkeHKce7CZYc2S2/OmmEzz2OJ4WHRrI/03pXaH8tulVZ988sW8cHaJDSXzkVK6c2L3Kfc8a1rHK7aplEJEI4DPgBmNMhus2uxfOY5NYjTGvGmNGGmNGxsVpcoGWrLjE8M9P1hDgJ1w0qgubDmaw71gu0wZa64g51v+88rgeZY7rFRfRIoM5x/BHTydA8fcTesRFsCM5i+s/XM2LC3cSHRrYrIYYntAnjntOH4hfuefk7yeEBPrj7ycE+vvRPjpEAzkvqNX4oMa68qiUq1d+2eW8feGrSwF45JwEZk2Id5a7Loj567ZkdiVnO+fYtSTDusbQuVWoR5NyhFbR8+YYXtJU3XRSxWEeAztWnX3z9ctGOW9fNj6+0v1unNrHq2mnVdMgIoFYgdx7xpjP7eLD9kVM7N9H7PL9QBeXwzvbZZWVK1WpeZsOsXhHCveeMZB/TOnN8X3imNKvLacMsi5sXjK2G59dM56hXWLKHNerbQR7UnIqXXaluVqflE50aGCDDH8c2a0Vi7Yf5as1B+jdNoJLxnbz+GMoVZka5y8vf+XRdc0KY4wREY98c9YhJMpV/O3fuS0f0yOW3u0ieWtxIgCPnzfYuS0jzxqWefMn63jygiENXsemJK+wxONLBYQEug8MLxjZ2W15U7PzoVPILypm1AM/kV1QXG2mT9erqV1ahzF71ii6xYZz3zcbeficBIL8/WgdHuSxRWeV77LniL8BbDbGPOWy6WvgMuAR+/dXLuV/F5EPsaYhpBtjDorIj8BDLklPpgF3NMZzUL5r/uYjRIUEcP6IzgT4+/HOFaPLbA8J9HcmeHI1vmcbXly4kx83HuLMoS3nmvqafWkM6RLTIJ/d/zelN1+u2Q8GPr1mvEfnrStVnRpdvm/MK486hEQ5zF6823n75IHtymzr3iacjjGlQyViwiomPPlsVVLDVa6J2nwww+M9kuWTiTj0iGvavXIO/n5CWFAAa+6ZxquXjmCSm0VMv/77BK6Y0J3dD59SYdukvm3p3iac2bNG0yE6lNiIYA3klMME4FJgsoissX9OwQriThKR7cBU+z7A98AuYAfwGnAtgJ345D/AcvvnfkcyFKXKKykxLNh6hC/X7Of4PnG1TsI0vmcsnVuF8vGKfdXv3Exk5xex7XAmw8r1UnpKXGQw71wxmtcuG6mBnGp0NclmqVceVaPLLSjm3m82Oe9fO6kXP248DMCdp1hznjpEh/LqpSOcGRwdTugTxy/brAnhh9LzPD4+vql6b5mV0Wz+liPV7Fk7fSsZ/x4V4lsNVqC/n3MuSXmDO8cwuHNM41ZI+TxjzCKgssh+ipv9DXBdJed6E3jTc7VTzdV36w/yjw9WAzC5X8WLU9Xx8xPOG9GZZ37azrHsAlq3gOzP65LSKTEwtGtMgz3GsK66mojyjppcztErj6pRGWPo/+85zvu7Hz6FIV1i+PWWE3n5khFl5ilNG9ieC0Z1KXP8m5eXznkaW24x8ZbgUg+P1Y8OCyTxkVMrlJ+S4D4wUkop1XA+WZlEh+gQ7jtjIKcNrlsSpol2cpTliS3ja9icDQcJCvBjuAZcqhmqtmdOrzyqxvb4j1vL3HcMaesaG0bX2LBqjy+fQaqkxJCRV+h2KGZD2HggndBA/0YdhlhcYrjriw0A3Hxy3wZ9rCn92uLvJ432eiqllLIcSMtl0fZkrjuxV5UJmqqT0DmaoAA/lu8+xsmVjFhoCKv2ptI2MpjOrapvyz0lr7CYL9ccYPrA9joEUjVLutqtalTGGBbvOFrlvK4XF+6s9+O4zn265+uNDL1/HkezKq5Rl5yZz/okz60VtjzxGKc+t4jJT/7isXNWxhjDlW8vZ29KDv9bkugsb+jG6vXLRvLqn0c26GMopZSq6NE5Wwjw9+OCkV2q37kKwQH+DO0Sw89bjvDAt5t48LtNbtvl5+Zv58znF3HIA2u3PjV3K+e8+DuTn/iFH9YfrP6AetqZnMV1763ik5VJpOcWcuGo+r1mSjVVGsypRvXpyiRmvr7MyvrkxherPZO0REQY091aTPp/S625ZGv2plXYb9SDP3H684tYl1RxW239sP4g57+8pN7nqaklu1L4afMRjn98gXN+4Y1TK6bi9zRN/qGUUo1v2+FMvlpzgKuP70GX1vXv2RrfM5ZdR7N5fdFuXvttN0ezCiguMSzZmcLafWkYY/jvz9tZm5TOn15bSmp2QZ0f60hGHv9dsINTB3egY0yIs11uSE/O3cp36w9y/zcb6dI6lHE9Yhv8MZXyBg3mVKPamZwNwO7kbM576Xce+HZTme03frTWebtL61DOHlb3tMkXjS57Fe7+bzeRV1hM/O3fEX/7d8zdeMi57YznFzP5yYV1fiyAa95bVeZ+Q67hc+/XG/nTa8sqlF8/teIi2UoppXzHkYw8Lnp1CdOf+ZUN+0tHjqzZlwbAOcM9syzM1cf35LNrxvPGZdZIi22HM3lszhYufm0pF7yyhF+2JVNYbDhraEeS0nK58eM1dX6sHzYcwhi4YUpvpg1sz4rEVHIKijzyPMrLzCvk0Tlb+GHDIYL8/SgsNlwwokuFBa+Vai40mFONyhHgPPfzDlbsSeX1Rbsr3fe3Wyfz9IVD6/xY6eWyXO49lsM7LsMRr/rfSoJcUjrvSs52G4Bl5hUye/FuSkoqHxqaX1TxuL3HcupQ65qZ/XtihTLXRdQbQuIjp7pNhKKUUsozSkoM13+4hjX70th9NJsPl+91btt2KJPgAD+6eqBXDiA0yFqHzpHJd/PBDD5blcSY7q0J8BMuf2s5ADed1Jfrp/Rm4dZkdhzJrNNjfbfuIH3aRdC7XSTH9W5DQXEJy3Y3TPKVuRsP89LCnQztEsOLM4fTt11khURpSjUnGsypRrUzOatCmWMsvruAqD4uHFVx0fnDGWXnzRUUl5S5P/6Rnysc89icrdz7zSbmbT5McSUB3bSnf3XePq53G2dZYbnzN6R/TmvYxCdKKaUa1pJdKSzZlcLdpw5gcr+2/LjxsPNC4tbDmfRuF1EhyVd9tYkIolVYIB/8sZejWQVcOq4bD52TQFCAH/3aR9I1NowLRnYhwE/48I+ya9MZY7hi9nL6/esHTnrqF951M3zycEYey/cc49QEK/PmqPjWhAT68dOmwx59Hg47krMI9Bc+vnocUwe048cbj6ddVMtYoki1TBrMqUa19VDFq3qLdhwFYOmu0qt0n10zvt6PFRpUutj1kM7RAG6HdVw/pTdr/z0NgGPZBTw1t2w2zbRcq4fv6v+tpOed35PiJpHKnhSrF+6SsV15/k/DneXnvPh7PZ9FRZUlj4kIrjY5rVJKqSbsy9X7iQgO4LwRnZk+qD3Jmfn8vjMFsIZB9qlk3c/6EBF6t4tkZ3I2QQF+TOrbljOHdmLdPdP44toJgLUo9skD2/PR8n3OZGKfr0rizi/W8/OWI0zq05aIkADu/nJDmREwYM0nNwZOHWxlzQwJ9Gf6wPZ8vfZAg0xH2Hkki26x4QTWcjF1pXyVvtM94PbP1hF/+3ferka9GWMavCfJ3QKnN3+ylgNpuVz25h8AfHHteEZ08+xaMLfP6A/AB/ZVxV9umeTclpVfRHRYIGcNta4aPvfzDvIKi53z675Ze6DMuUY88BO7j2ZXeIx+7SN54KyEMtkk1+/3XKZMh/yiin+j607s6WZPpZRSviKvsJgfNhxixqD2hAT6M7V/OzrFhHLbZ+vYfTSbwxn59G2AYA4g1l44/G8n9HReGAwJ9C9zUfTGk3qTU1jM0/O2kZpdwJ1frOeDP/bRtXUYz108zOoJ69+W+7/ZxKq9qc7jvl9/iL7tIunVtrTuF4zqQmZeEV+vKdu+esLO5Cx6xoV7/LxKNVUazHnAh8utAKGoEYfUNYTud3xP77t+aNDEHa6JEF3nX533UmkPVvc2nvsQvmRsV+47YyBxkWXXROsWW/oY2flWb51rqudNBzPo9685VObEJxY6bzsmqG9x6XX87dYTy+xvjPFIameADLuncHT31nzz94lsvO9kbtYhlkqpJqqouKTK5WiUZffRbLLyizihbxwA4cEBvDhzOEcy8zjXbiPHNlBGxv+b0psbpvbm+imVJ9Hq1TaSS8d244M/9nL3VxvIKyzhxZnDee/KMQQF+BHo78eTFwylfXQI/3h/Nek5hc4hlqckdChzrrHdYxncOZr7v93E9sN1m4fnTmFxCXtScujVtvHWeVXK2zSY86BDGZ75su5tDRnMOeasjY5vXab8gEug48nFqB84K4HLxsfTyuWcP910AoDzyt2/Tx8AwPhebTh1sNXguBseOaRLDFP7l/YsPjpnCwCn/XcRALe4LNbtmjY6/vbv+NNryxj78Hy38wlqa+PBDABumNqbhM7RhAcH6HIBSqkmqbjEMP6Rn/lo+b7qd25mCopK+GnTYQ7X8LvBwfRcADrGhDrLhnSJ4fopvTmWXcCFI7swpEtMQ1SV/h2iuGFqn2rn410/pTeRIYF8t+4g5wzrxCkJHcq0d9Ghgfz34mEczsjjqv+t4MM/9pUZYung5ye8cukIggP8uPWzdVUmGKuNPSk5FJUYesZpMKdaDg3mqrErOYv4279j0faj1e6bW9BwQVBjKnAzjM+dkhLjTPNf0+QlP285AsDHfxsHVOzBaiiuQx8dV+w+v2YCX103gbCg0rlmd57Sv8xx/zrNCvR+u/VEvrpuAq9fNooP/joWgJcW7uSUZ39z7vvncd0qffwlu6w5D3d/uaGezwRm2RnG+rePqve5lFKqIaXmFHAkM5+1HljL05uMMdz3zUYe/n5zjfbPKyzm9P8u4sp3VnD1/1ZWmjzL1UH7ombH6NAy5X87oSfPXTzMeeHRm1qFB/HCn4bz8DkJPHH+ELf7DOvaiicvGMKqvak8/dM2ereNKDPE0qFDdCh3nNKf1XvTGHjPj/z1nRV8s/ZAvZYscIyU0Z451ZJoMFcNx8Tj79YfrHbfo1kFDL73R+fkYF/iGsC9+uuuGh1zzXsrnbfv+Gx9nR63S+swNt8/3Xn/RHt4iacFuJkIHR0WWOEqp2PegMPo+NYkPnJqmSuP43qWDnPZZPeSBfgJkSGBZY6de+PxbusSf/t3ziuw9RETFlj9Tkop5UXH7IWm9x2r/2eeN73/x17eWpzI64t21+jz+/mfd7D1cCYXjerCmn1pfLKi+p7JQ+l5+PsJcZHBZcoD/P04Y0hHwptIkquJvdtw8eiuVa7bdubQTnxx7QRmjunKbdP7VbrfOcM6cfn4eGYktGfxjqP844PV/PmNP+o8Qujz1fvpFBPKwI7RdTpeKV+kwVw1HMkmggOqf6kufm0pGXlFjHzgp4aulsftOlq6ZEBVa785fLl6Pz9uLE0r/Pnq/aTlFNTosY7vUzZgCw3y57wR1iKot5xc+Yd+YwgJ9OcEl/oN7Oi+92vnQ6eUuf/KpSMq7NOnXSTvXznG7fH/98FqAJYnHiM1u2avG0B6bunaeTq0UinV1DkubialNty6m43h3aV76REXTnGJqXbIaE5BEa8v2sUZQzry8DkJ9G4bwTfrShN9pGTlu+2pO5ieR9vIYI8vPeAtgzpF8+DZCUwd0K7Sffz8hHvPGMhTFwxlxd1TeeqCIazcm8ojP2zh81VJNb7weSg9j//7YDW/bU/m3OGdms1rqFRNaDBXDcek7cq+NzeXSd3zNpZd7+VtN4tSu7rhozUVymbNtob/vfbrLsY/PL/CdseyBFvs3ixX9585kJcvGcGASoInT9j98Ck1WvT67StGc6ad2bKyK4/+fsLae6Y571e2hs34Xm14/c8jK5QvT0zlvWV7OP/lJQz7z7yaVJ/4279jyH1zAbh8fHyNjlFKKW9y9MztT8v12LyoxpZXWMy2w5nMGNSeib3a8Pmq/ZW2/XmFxfyyNZm8whIuGt0FEWFS3ziW704lt6CYxTuOMu7hn90O1zyYnkv76Ja7HlpYUADnDO/MRaO6MPv3RG76eC3Tn/mtTGbMyjz8w2Z+2HCQ3m0juGh0xTVmlWrONJirhuPqTmXj3csvOg0woEPTn8t0NCufL1fvd95/ct62Mtvv+Xoj8zcf5tmftpOZV0hxiSEpNYf/zt/u7FUCWHvPNO48xepN25+aS/zt3/Hg95s5kJ7HnA2Hypzzgz/2AnAks+Iw1LCgAKYPal+h3JNq05P19AVD2frA9Cr3iQ4NZOdDp/DzP09gUKfKh3S4XpVs6zJ85q4vSufPfVzNEJwF9lxDh6qGrSilVFPhCOYKiw0XvbaUZfb8YV+y+WAGxSWGhE4xnD6kA3uP5bDxQMWLkv/5dhOD7vmRa95bRZC/nzPR13G94ygoLuHi15Yy663lFJWU8O6yPc7XxuFgel6F+XIt0Y1T+xBjLxcUGRLADR+ucWaddmfb4Uy+WnOAq47vwdwbTyiTQEaplkCDuWrkFVrB2jtL9rAnpeLaYnkFFYO5nj4w8fapedu44aM17DtW+dCXv7y9gqd/2kbCvXP5+/urmPjoAp6ct42v7XXXesaFEx0ayFXH92Rsj9YVgrS/vVs6p27jgXRnYPzN3yc2wDPyLD8/ITjAv9r9/P2EHjXImvXx1eP4z5kD+eOuqRWGaALc+um6Mvfv+HwdJzy+wHnf0esJcMeMfmXW/lFKqaYqJas0YPlj9zGe+3m7F2tTN471QhM6RzNtQHsC/IS7vtzAzNeX8u+vNvD274k8+N0m3li0myn92xIS6MclY7s552qP7t4aP4E1+9I4aWA7PrxqHHmFJTw2ZwvGGAqKSli9N5VdydktumfOoW1UCEvvmMIzFw3jqQuGsvdYjvNiMFjTE854fhErEo8B8OnKJAL8hCsmdPdWlZXyqqYxm7YJc52Ee+ITC9n1cNlherluJul+s/YA/714WIPXrT7mbbKGVeYXlTgXCj8loT1dW4fz8i87K+z/Q7leNoCrju/hvF1Y7L7n8q3FuxnUKZrzX17iLGuJgcjo7q0Z3d26SuvvJ5w1tCNfllsstbjE4O8nZRagz8ovwrU/cddDp1Q65FcppbzholeXcCQzn7cuH1VmDU+gQu/T4h0p7E3JoWtsGL5ifVI6rcOD6BgdgohwxpCO/LT5MN1iw3lv2V7nyJ1+7SN5/k/DAcp8bocE+vPVdRMJDfJzZnW8dlJPXly4k+jQQL5cs9+5bE8HDeYA6zUDq+0c2DGKb9cd5MrjenAgLZdLXl9GflEJN368hm/+PpEvV+9nUt+2xEYEV3NWpZonDeaq0SaiNLthiYHVe1MZ1rWVs2zNPvdjuY0xTTpBhWOB84KiEj5bmQRYvZC3z+jnNphzZ0r/0uGDK/eUvg67Hz6FwffNJTOviPu+2VThuK6tfacRbyhPXziU4d1aMbBjtHMx2IteXcJNJ5Vd/HvQPT86F3F95dIRVWYPU0o1PhF5EzgNOGKMGWSXtQY+AuKBROACY0yqWI3Cs8ApQA5wuTFmlX3MZcDd9mkfMMa83ZjPo66MMSzdZfWQPP7jVmcw43Asu4BOMaHsT8slLjKYo1n5fLYqiRtP6uON6tbJyj2pDO0S42zTn7pwqHPb3pQcCopLCPATYsICCXSTORmsXj1XN0/ry/YjWbzy6y4igwN4+sIhJB7N4YwhHRvsefiqUwd34LE5W1m84ygbD6STX1TC4+cN5vbP1zP24fnkFZZw4agu3q6mUl5T7TBLEXlTRI6IyAaXstYiMk9Ettu/W9nlIiLPicgOEVknIsNdjrnM3n+73Wj5hPKJLR75YUuZ+5XlP8mv4Vpt3uLoScsvKmbZbqsh7hhT/RXBLf+ZTuIjp5L4yKm0cXMVrEdcOCLColsnV3qOoBpkBm3uRIQ/j4tnRLdWrLvXSqSyPDGVi19bWmHfZ+dbw5JO6l95RjCllNfMBspPsL0dmG+M6Q3Mt+8DzAB62z9XAS+BM/i7BxgDjAbucbSrTV2my1ymLXaSK1cp2fl0ignlq+smsODmSYyKb80PG6pf6qepOJyRx66j2YzrEet2e9fYMHq1jSC+TTgxYUFu93HHz0949NzBHNe7Dc9cNJSzh3XmxpP60LaSZFot2emDOxIRHMDM15fxxNxtJHSK5vyRXXj3L2MY1DGaJ88fwtT+bb1dTaW8pibfqmfTghuq8rHa/rSyaXKveW+V2+OG3j+3gWrkGUUlpT1zX9iJUO47YxAAV5/Qgz7tIrjLZQHtD/46lsW3T3YOfSjvuN5tAPji2gmAtYbb9/93nHP73af2d3ucgqiQiuvFvXX5KO47Y6Dz/llDO2qvnFJNkDHmV+BYueIzAUfP2tvAWS7l7xjLUiBGRDoAJwPzjDHHjDGpwDwqtrtNUrI9V7pTTCiJR7PJLyo79SAlq4DW4UEM6RJDRHAApwxqz7bDWexMznJ3uibjmZ+2cflbf7DUTtgytpJgrj5ahwfxv7+MKTPKRVXUpXUYC26exEWjulBQVMIpCR0Aa83XT68Zz7kjOjfpkVBKNbRqg7mW3lCV73krP/7foV/7yDL38wpL+GnTYX7cWDrX7JMV+6pda+cvs5fz1Zr9Ve5TXz9vOexM7OKajdORoOSOGf2Ze+MJTLIX8D5tcAfG9YylUxUZou49YyC3nNyX6NDSwGRAxyhum96PJ88fwpXH9aj0WAVPnj+kzP2BHaOYOaYrj56bwJPnD+GBsxO8VDOlVB20M8Y4up8OAY5v650A19S1SXZZZeVN3hF7rtfEXm0oKjHsPlo2UVhKdgGxLtMVpg+yvoj/tKnscjhNSVpOAa/8souFW5N5b9leIoMDGnTZHFW9uMhgHjhrEP+9eBizJsR7uzpKNSl1He/WYhoqR9/c7TOsVPCuqeVduRtecuU7K7j6f1ZGx53JWdzy6TpO+++iSh9px5Es5m85wvUfrqlnnat2xewVztsH0/IA3C6w2btdJO9dOYYnygUa7vSMi+C6E3tVKL9mUk/OtRcEdwzPVBWVX1S1bVQIAf5+XDiqK+eO6ExEsE5vVcoXGWtBMo8tsCYiV4nIChFZkZyc7KnT1lmyvSj4BHt0xrbDpT1uWflFHMsuoHOr0nnS7aND6NEmnOWJ5a8RNw1pOQX866uNzuRmf+w+xpT+bXUR6iYgwN+P04d0rHSEkFItVb0nLzX3hsrRM3dCnzgGdYoiMaVsz1pHO/NUTFjFoXIOu5Kz+N+SPQCk5RRWut/vO4/Ws7bVyy0oOwTm1s+slPiDKrnqOKFXG/3gbATRoYFsuO9k/rhzCsvunOLt6iil6uewPSoF+7djocj9gGumhs52WWXlFRhjXjXGjDTGjIyLi/N4xWvrSIZ1QXBs99b4+wnbXC5sOpa+KZ/0amR8K1bsSSUpNcfZJhlj2HY4s9I1XQFSswv458drSc+tvB2trwe/28z36w9y9Qk9GNY1BhG41s2FSqWUairqGsy1mIbK0ayIwIb91iKhO46UNladWoUyvmcs/zfZyjgY6ibwmfzkL+QUWJPEA/yEHUfczxUIcsmCZSrJrHIkI4/USoZ61sT3691PPI8I0Z4fb4sIDqBtVEiFpDtKKZ/zNeBI9HUZ8JVL+Z/tZGFjgXR7lMuPwDQRaWXPJ59mlzV5yVn5BPn7ERcZTPc24Ww5VLqY9t5Kg7nWpOUUMvHRBQz7z1z+t3QP57z0O9Oe/pVnftpW6WP9tuMon61KYkkDXfg0xvDr9mRmDGrPHTP6c8eM/jx4VgJ92kVWf7BSSnlJXb/BOxqqR6jYUP1dRD7ESnaSbow5KCI/Ag+5JD2ZBtxR92p716H0fOdaMTkFxbSLCuSKid3pEB3Cif3asmZfGhe9WjYr4ccrrPT/RSWGqU/94na4YadWpXPSUnMKaR1eMTPW6IfmA9R6uKJj7bIwe4232PAgUlyCwrHdPT+5WymlmjsR+QCYBLQRkSSsZF+PAB+LyF+APcAF9u7fYy1LsANraYJZAMaYYyLyH2C5vd/9xpimOQ6xnOSMfOIigxERBnWMcmZHhsp75kbFt3be7tc+in99uYGgAD+Gd43h1V93ceGoLmWGZjrsTbHm4+1Mzq6wrb52HMlkeWIqhzPymdDLGjLquj6oUko1VdUGcy29oXJ0kInLEqCH7WElAEez8hloD1GcYWdYqknWq5ISUyE7oSMpCYAnh+en5ZQGbTn2kJZld06h110/ALDg5kl007XflFKq1owxF1eyqcJ4aXtawnWVnOdN4E0PVq1RJGdZwRzAwI7RfLnmAClZ+cRGBLMnJYeokACiy01D6N4mnEfOSeC4PnEE+Al/e3clV0zozvBurTjx8YW8uHAnD7lJ+uSY5rCzktEtdfXqrzt56PvSZYfG99SLm0op31FtMNfSGypjD7R0zXp7wF6e4NyXfudwRn6Vw+IuGNnZ2Svn6owXFnHfGQMZ0a30qp9rSudNBzIYb18drExBUQl+Yk0KrrT+xjD0/nllyuIigwnw99NkJEopperlSEY+XWOti4EDO1kXNjceyOD4PnHsPZZDt9hwt8ddNLqr87ZjSRuAc0d05tMVSfz9xF50LJdBea8jmPPgsgb7juXw5NxtTO7XFmMMx7ILKvQkKqVUU6arN1ejtGeudKjIk/O2UVRcwso9qQCEBVWMie+ws1/+Y3JvrpnUs8L2DfszOPelJWXKVu9Nc97+0+vLqqxXek4hfe7+gV53/cCFryzhu3UV58IVlxjeXba3QnlWXlGFMqWUUqq2krPynVmeB3aIBqxgDqxAqbaB0TUn9CTAX7jszT9IL5cwLNFlmGVl88odUrLyeeDbTfzz47UkHq18WOYLC3YgAg+cNYi3Zo3mi2sn6JplSimfosFcNVwToPxwfeki2N+6BE9dWldcf+3qE3qy66FT6NI6jFum9eXrv09g2wMzmHfj8W4fJ6egiDcW7S5T9vbviZXWa+YbpXPylu0+xnXvr+JIZl6ZfaY/8yv/+nKD875j2Mobl4+s9LxKKaVUTRQUlXAsu8A5zDI6LJBusWGs3JNKcYkhKTWXLrUM5rrGhvH6n0ey/UgWn6wsXdEop6CII5n5tIsKJiu/iGd+2k5eYbHbcxhjuPXTdcz+PZEfNhxkxrO/MddlzVeHvMJivl13kNMGd3T2Apaf/qCUUk2dBnPVKL36J4S7rPV1w0drnLcn9W3r9lhHo+DnJwzuHENQgB+920Wy9t/TnPv8YGeXzMit2Ft2z9cbeWqeldmrqLiEORtKA0hHZk1X36wt2zu33WVewab7T+ZPY7qS+MipjO9Z9fBNpZRSqjop2dYac20jS6cajO/ZhqW7UtifmktBcUmdhiyO79WGAR2i+GFDaQDmyIx5akJHAJ6dv52/vbuSwuLSueaHM/J44NtNnPLcIuZvOcKt0/vy8z8n0addBNe9v4r99hQJhx83HiIrv4hzhvvIsrdKKeWGBnM1VNWoi9ou6BwdFsgrl44AYNVea6hmcSVDRp6bv519x3I48cmF/O3dVRW2b3tgBu9fOQaA/3y7qdKhJ+6WTFBKKaXq6kiGFcw5euYAjuvdhqz8Ir5ZdwComMmypk5JaM9Key06gD32fLmzhnVk8e2Tuf/MgSzcmuwcwfLjxkNMffIX3l6SSGx4EH87oSezJnSnfXQIL8wcTnGJ4R2X0S4ZeYU8NmcrPdqEazZnpZRP02CuGq5z5gAGdHC/uHZtnTywPQCv/babNxftdg4XeeCsQRX2nfHsb+w7lluh/KOrxhIU4FcmUcrrv+1mb0oOX64uu4yfzgFQSinlScmZjp650mBufM9YROCDP6z52nUN5s4c2omQQD+ueXcVOQVF7LHny3VrHU6nmFD+PC6eE/vG8cxP23lv2R6ueXclPdpGMO/GE3j3yjHcPqMfgXZysM6twpgxqAPv/7GX9NxCiopL+OfHazmYnsvj5w/RoZVKKZ+mwVw1cu0gK9Ren+3764/j0XNLUybfe/qAej/G/d9uItdeMiAuMpjX/jySL64dz0szhwOQlV9xCOYNU3uXWf9m3b3W0M0Hv9/M8Y8vcA4DvfvU/pq1UimllMcdcQRzUaXBXExYEIM7RZOUmou/n9AxpvJsz1Xp0jqM5y8ezvr96byzZA97UnKICQsss8zBv08fSFFJCXd9sYF+7aP44K9jiG/jPnvmtSf2JDOviJd/2cm/vtrAvE2H+fdpAxjRrZXb/ZVSylfUddHwFuOo3Vi1CitdwDs6tPS2IyVzff37KytRSUigPyf0iXO7T+dWoSSl5vLg2YOYOaZbmW1RIYFuj/nTmK5uy5VSSqn6cPTMxYYHlymf0KsNa5PS6RQTWuXSOdWZOqAdE3rFMntxIt1iwyosc9C9TTj3nzmIx3/cylMXDnGbWdphYMdozhjSkZcW7gTg2kk9uXxC9zrXTSmlmgoN5qpxID2XNhFBhLjMOfN3GZIR4Ff3huqLa8ez/UgWt366jlX2sgQhAWXP98P1xzHj2d8YFd+KT/42vsrzvXzJCP727koA/veX0fRtH1ll46aUUkrV1ZHMPFqHBxFUrt2a2LsNLy7c6ZH12q6c2INZs5dzKCOPM4Z0rLD9gpFdOH9E5xpNJXjw7EEM7hxNaJA/fxqtFzqVUs2DftOvxs4j2RUWLnVNhxxQj7H2w7q2YljXVtz66TpnmWM4p0P/DlE1HiY5fVB71vz7JAL8/WqdlEUppZSqjeTMfOIigiuUj+jWiojgAHrEuR/yWBvH94mjdXgQx7ILiK9kJExN54RHhgRy5XE96l0npZRqSnTOXBV2JWfxR+IxxvUsm+nK9X5gQP1fwjcuK133LaSeWSdjwoI0kFNKKdXgjmTml5kv5xAc4M+n14zjhql96v0Y/n7C8K4xAESFup9OoJRSLZkGc5X4ecthpj/zGwBDOseU2dbG5UpkGzdXJWvLdZ06XUJAKaVUUzd78W7W7Eujb7tIt9v7tY+idXiQ2221deNJfYgKCWBK/3YeOZ9SSjUn2oXjxuaDGVwxewWtwgI5Z2AnTknoUGGfX285kbmbDtG9ksxZteE6B89fUyQrpZRqoowxPPPTdp6dv51pA9px88l9G/wxB3aMZt29Jzf44yillC/SnrlyFu84ysWvLQXgo6vH8ci5g93u1zU2zKNj7x8821pfzlNXMpVSSilPyiss5s4vNvDs/O1cMLIzL84cXu+pAUoppepHe+ZcPPLDFl7+xcrAdd8ZA+ndNqLRHnvmmG4VlhtQSimlmoKcgiIue/MPliemcu2kntxyct8aJx5RSinVcDSYs7326y5e/mUnF43qwr1nDNSrjUoppRRQUFTCNe+uYuWeVJ67eJjbJQKUUkp5R4sP5r5YncRT87ax71gupyZ04MGzE3TemlJKKQX8vvMoT8/bxvLEVB49N0EDOaWUamKafTBXWFzCruRsMvIK6RYbRtvIEABW701lzsZDvPLLLgBOHdyBZy4cqoGcUkqpFi8zr5CHf9jC+8v20i4qmEfPTeDCUbrQtlJKNTWNHsyJyHTgWcAfeN0Y80hDPZYxhj+9tpTlianOst5tI4gICWD13jQATk3owJMXDNFhlUoppVqUuRsP8dIvO1mXlE6rsCAGdIwioVMUe4/lMm/TIfKLSrjq+B7cdFIfbSOVUqqJatRgTkT8gReAk4AkYLmIfG2M2dQQj7f5YCbLE1O5aFQXju8Tx7bDmaxLSmdPSjbXndiTs4d1oldb92vkKKWUUo2pMS92AqxNSiMtp5Arj+vOsawCNh7I4OVfdhEW6M8FI7tw3ojODC63zqpSSqmmpbF75kYDO4wxuwBE5EPgTKBBgrkBHaP4+Z8n0DEmlJBAf7frxSmllFLe1tgXOwH+Mbk3/zypL34u0wtyCorwE9GeOKWU8hGNvc5cJ2Cfy/0ku6zB9IiL0EZJKaVUU+e82GmMKQAcFzsbTEigf5lADiAsKEDbTKWU8iFNbtFwEblKRFaIyIrk5GRvV0cppZRqDDW62KltpFJKKVeNHcztB7q43O9slzkZY141xow0xoyMi4tr1MoppZRSTZm2kUoppVw1djC3HOgtIt1FJAi4CPi6keuglFJKNTXVXuxUSimlymvUYM4YUwT8HfgR2Ax8bIzZ2Jh1UEoppZogvdiplFKq1hp9nTljzPfA9439uEoppVRTZYwpEhHHxU5/4E292KmUUqo6Yozxdh0qJSLJwB4vPHQb4KgXHtcTfLnu4Nv117p7jy/XX+teqpsxRieC1ZCX2kh9v3qPL9df6+49vlx/rXupStvHJh3MeYuIrDDGjPR2PerCl+sOvl1/rbv3+HL9te7Kl/jy39yX6w6+XX+tu/f4cv217jXT5JYmUEoppZRSSilVPQ3mlFJKKaWUUsoHaTDn3qverkA9+HLdwbfrr3X3Hl+uv9Zd+RJf/pv7ct3Bt+uvdfceX66/1r0GdM6cUkoppZRSSvkg7ZlTSimllFJKKR+kwZxSSimllFJK+aAWEcyJyJsickRENriUDRGRJSKyXkS+EZEouzxIRN6yy9eKyCS7PExEvhORLSKyUUQe8aX6u2x7VUS22c/j3EaoexcRWSAim+zX7Xq7vLWIzBOR7fbvVna5iMhzIrJDRNaJyHCXc11m779dRC7zpbrb26NEJElEnveluovIY/Y5Ntv7SBOsfz/7/yFfRG6u7jy+UHd7W4yIfGr/v24WkXFNrO4z7ffLehH5XUSGuJxruohstd9TtzdkvVXdibaPuGzT9tELdbe3a/vYcPXX9tE7dW+89tEY0+x/gOOB4cAGl7LlwAn27SuA/9i3rwPesm+3BVZiBb1hwIl2eRDwGzDDV+pv378PeMC+7Qe0aYS6dwCG27cjgW3AAOAx4Ha7/HbgUfv2KcAPgABjgWV2eWtgl/27lX27lS/U3eV8zwLvA8/70Os+HlgM+Ns/S4BJTbD+bYFRwIPAzdWdxxfqbm97G7jSvh0ExDSxuo93/B8CM1zeN/7ATqCHXe+1Df2660+d/+baPhptH71Vd5fzafvYcPXX9tE7dW+09rFB33BN6QeIp+yHfTqlCWC6AJvs2y8Al7rsNx8Y7eZ8zwJ/9aX6A/uAcC//Hb4CTgK2Ah3ssg7AVvv2K8DFLvtvtbdfDLziUl5mv6Zcd/v2COBD4HIaobHy4Os+DusLTyjWF7YVQP+mVn+X/e6l3Ae+u/P4Qt2BaGC34//cGz81rbtd3grYb98eB/zosu0O4A5vPQ/9qfbvXO/2pdz5tH2s2/PQ9lHbR4/X32W/e9H2sdHrbpc3aPvYIoZZVmIjcKZ9+3ysD3ywIuQzRCRARLpjfch0cT1QRGKA07EaAm+pVf3tOgP8R0RWicgnItKuMSssIvHAMGAZ0M4Yc9DedAhw1KUTVqPqkGSXVVbeKOpTdxHxA54EygwRaCz1qbsxZgmwADho//xojNncGPV2qGH9a3ueRlHPuncHkoG3RGS1iLwuIuENVtly6lD3v2BdvQYv/7+qetP2UdvHGtP2UdvHutD20ane/68tOZi7ArhWRFZidZcW2OVvYr2wK4BngN+BYsdBIhIAfAA8Z4zZ1ZgVLqe29Q8AOgO/G2OGYw0HeKKxKisiEcBnwA3GmAzXbca6NGEaqy615YG6Xwt8b4xJaqAqVqq+dReRXkB/rPdOJ2CyiBzXQNV19/geed9UdZ6G4oG6B2ANH3vJGDMMyMYawtHgalt3ETkRq7G6rTHqpxqcto/aPtaIto/aPtaFto+eFdBQJ27qjDFbgGkAItIHONUuLwJudOwnIr9jjYt1eBXYbox5ptEq60Yd6p8C5ACf25s+wXpzNTgRCcR6479njHE8/mER6WCMOSgiHYAjdvl+yl7p7WyX7QcmlStf2JD1Bo/VfRxwnIhcC0QAQSKSZYxp0A8eD9X9EmCpMSbLPucP9vP5rSHrXof61/Y8DcpDdU8Ckowxjiuln9IIjVVt6y4ig4HXseZIpdjFlb2flA/Q9lHbx5rQ9lHbx7rQ9tHz7WOL7ZkTkbb2bz/gbuBl+36Yo6tWRE4Ciowxm+z7D2CN073BG3V2Vdv621cLvqH0A38KsKkR6inAG8BmY8xTLpu+Bi6zb1+GNfbYUf5nsYwF0u3u6x+BaSLSSqxMQdPssiZfd2PMTGNMV2NMPNZQkncaoaHy1Ou+FzhBrGFJgcAJQIMPI6lD/Wt7ngbjqbobYw4B+0Skr13U4P+zta27iHTF+gJ8qTHG9Uv9cqC3iHQXkSDgIvscygdo+6jtY2PVXdvHRql/bc/TYLR9BBqifTRemjjYmD9Ywz4OAoVY0fxfgOuxrshtAx6hdLJ0PNZkxs3AT0A3u7wzVtfpZmCN/XOlr9Tf3tYN+BVYhzWfoWsj1H2i/bqtc3ndTgFi7Tpst+vZ2t5fsCap7wTWAyNdznUFsMP+meVLdXc55+U0TrYuj9QdK+vSK/b7aRPwVCO952tb//b2/0YGkGbfjqrsPL5Qd3vbUKwhYeuAL2n4DHW1rfvrQKrLvitcznUK1ufTTuCuxnjf6E+d/ubaPhptH71Zd5dzXo62jw1Rf20fvVP3RmsfHR9wSimllFJKKaV8SIsdZqmUUkoppZRSvkyDOaWUUkoppZTyQRrMKaWUUkoppZQP0mBOKaWUUkoppXyQBnNKKaWUUkop5YM0mFNKKaWUUkopH6TBnFJKKaWUUkr5IA3mlFJKKaWUUsoHaTCnlFJKKaWUUj5IgzmllFJKKaWU8kEazCmllFJKKaWUD9JgTimllFJKKaV8kAZzSimllFJKKeWDNJhTSimllFJKKR+kwZxSSimllFJK+SAN5pRSSimllFLKB2kwp5RSSimllFI+SIM5pZRSSimllPJBAd6uQFXatGlj4uPjvV0NpZRSjWDlypVHjTFx3q6Hr9A2UimlWoaq2scmHczFx8ezYsUKb1dDKaVUIxCRPd6ugy/RNlIppVqGqtpHHWaplFJKKaWUUj5IgzmllFJKKaWU8kEazCmllFJKKaWUD2rSc+aUUqqpKCwsJCkpiby8PG9XxeeFhITQuXNnAgMDvV0VpZRSXqRta1l1aR81mFNKqRpISkoiMjKS+Ph4RMTb1fFZxhhSUlJISkqie/fu3q6OUkopL9K2tVRd20cdZqlUC5aeU8jIB35i0faj3q5Kk5eXl0dsbGyLb2zqS0SIjY3Vq7BKqSblv/O3c86Li71djRZH29ZSdW0fNZhTqgXbfCiDo1n5rNmX6u2q+ARtbDxDX0elVFOzcm8qq/amsT8t19tVaXG0TShVl9dCgzmlWrCdyVkAHEzXXpKmLjExkUGDBtV4/zfffJOEhAQGDx7MoEGD+Oqrrxqwdkop5dsO2EHcsl0pXq6Jamy1aV9nzpzJSy+95Ly/bNkyBg8eTGFhYUNVr1o6Z06pFmxXcjagwVxzk5SUxIMPPsiqVauIjo4mKyuL5ORkb1dLKaWarINpVju4dFcK5wzv7OXaqKbqqaeeYty4cZx33nnExsby97//nRdffLHOCb2MMRhj8POre/+a9swp1YJpz5xvKSoqYubMmfTv35/zzjuP77//nrPOOsu5fd68eZx99tkcOXKEyMhIIiIiAIiIiHBOpt65cyfTp09nxIgRHHfccWzZsgWAb775hjFjxjBs2DCmTp3K4cOHAfjll18YOnQoQ4cOZdiwYWRmZmKM4ZZbbmHQoEEkJCTw0UcfAbBw4UImTZrEeeedR79+/Zg5cybGmEZ8hZRSqvYy8grJzC8CYIn2zLVINW1f27Vrx80338ytt97Kyy+/zODBgxk3bhy33HILo0aNYvDgwbzyyisAZGVlMWXKFIYPH05CQoJzhExiYiJ9+/blz3/+M4MGDWLfvn31qrv2zCnVgpX2zOkcgdq475uNbDqQ4dFzDugYxT2nD6xyn61bt/LGG28wYcIErrjiCjZu3MiWLVtITk4mLi6Ot956iyuuuIIhQ4bQrl07unfvzpQpUzjnnHM4/fTTAbjqqqt4+eWX6d27N8uWLePaa6/l559/ZuLEiSxduhQR4fXXX+exxx7jySef5IknnuCFF15gwoQJZGVlERISwueff86aNWtYu3YtR48eZdSoURx//PEArF69mo0bN9KxY0cmTJjA4sWLmThxokdfK6WU8iTHEMuR3VqxYk8qSak5dG4V5uVatTzealuh5u0rwN/+9jfefvttFi5cyIoVK3jjjTeIjo5m+fLl5OfnM2HCBKZNm0aXLl344osviIqK4ujRo4wdO5YzzjgDgO3bt/P2228zduzYej9H7ZlTqoXKKyxmX2oOYUH+pOUUkltQ7O0qqWp06dKFCRMmAHDJJZewePFiLr30Ut59913S0tJYsmQJM2bMwN/fnzlz5vDpp5/Sp08fbrzxRu69916ysrL4/fffOf/88xk6dChXX301Bw8eBKyhmSeffDIJCQk8/vjjbNy4EYAJEyZw00038dxzz5GWlkZAQACLFi3i4osvxt/fn3bt2nHCCSewfPlyAEaPHk3nzp3x8/Nj6NChJCYmeuW1akwi4i8iq0XkW/t+dxFZJiI7ROQjEQmyy4Pt+zvs7fEu57jDLt8qIid76ako1SI5hlg6hlcu23XMm9VRXlDT9hXAz8+Pq6++mhkzZhAbG8vcuXN55513GDp0KGPGjCElJYXt27djjOHOO+9k8ODBTJ06lf379ztHvXTr1s0jgRxoz5xSLdaelByMgTHdW7NgazIH03PpERfh7Wr5hJpc5WsI5bNciQizZs3i9NNPJyQkhPPPP5+AgADnttGjRzN69GhOOukkZs2axU033URMTAxr1qypcO5//OMf3HTTTZxxxhksXLiQe++9F4Dbb7+dU089le+//54JEybw448/VlnH4OBg521/f3+Kiorq96R9w/XAZiDKvv8o8LQx5kMReRn4C/CS/TvVGNNLRC6y97tQRAYAFwEDgY7ATyLSxxijV1iUagSODJaT+sYRExbIkl0pnDtC5801Nm+1rVC79hWsgM4xz80Yw3//+19OPrnsdbjZs2eTnJzMypUrCQwMJD4+3rnsQHh4uMfqXqOeORFJFJH1IrJGRFbYZa1FZJ6IbLd/t7LLRUSes68wrhOR4S7nuczef7uIXOaxZ6GUqjXHfLkJvdoAcEjnzTV5e/fuZcmSJQC8//77TJw4kY4dO9KxY0ceeOABZs2aBcCBAwdYtWqV87g1a9bQrVs3oqKi6N69O5988glgNUBr164FID09nU6dOgHw9ttvO4/duXMnCQkJ3HbbbYwaNYotW7Zw3HHH8dFHH1FcXExycjK//voro0ePbpTXoKkRkc7AqcDr9n0BJgOf2ru8DZxl3z7Tvo+9fYq9/5nAh8aYfGPMbmAH0DJfUKW84GB6LgF+QruoEMZ0b81SnTfX4tS0fXXn5JNP5qWXXnJmtNy2bRvZ2dmkp6fTtm1bAgMDWbBgAXv27GmQutdmmOWJxpihxpiR9v3bgfnGmN7AfPs+wAygt/1zFdbVSESkNXAPMAarkbrHEQAqpRrfLjuYG9/TCuYOaDDX5PXt25cXXniB/v37k5qayjXXXANYqZK7dOlC//79ASgsLOTmm2+mX79+DB06lI8++ohnn30WgPfee4833niDIUOGMHDgQOeE7HvvvZfzzz+fESNG0KZNG+djPvPMMwwaNIjBgwcTGBjIjBkzOPvssxk8eDBDhgxh8uTJPPbYY7Rv376RX40m4xngVqDEvh8LpBljHF2SSUAn+3YnYB+AvT3d3t9Z7uYYpVQDO5CWR/voEPz9hLE9YklKzWXfsRxvV0s1opq2r+5ceeWVDBgwgOHDhzNo0CCuvvpqZ0KVFStWkJCQwDvvvEO/fv0apO71GWZ5JjDJvv02sBC4zS5/x1gpzJaKSIyIdLD3nWeMOQYgIvOA6cAH9aiDUqqOdiZn0ykmlB5xVlf/IU2C0qTFx8c7M0+Wt2jRIv76178673fr1o2ff/7Z7b7du3dnzpw5FcrPPPNMzjzzzArl//3vf92e5/HHH+fxxx8vUzZp0iQmTZrkvP/888+7Pba5EJHTgCPGmJUiMqmRHvMqrAuldO3atTEeUqlmb39aLh2jQwEY1zMWgGW7j9GltSZBaQlq0746XH755Vx++eWANeTyoYce4qGHHqqwn6O3r7wNGzbUvcLl1LRnzgBzRWSl3ZAAtDPGHLRvHwLa2bcru8KoVx6VakJ2JmfRIy6ckEB/WocHac+cjxoxYgTr1q3jkksu8XZVWqIJwBkikgh8iDW88lkgRkQcF0s7A/vt2/uBLgD29mggxbXczTFlGGNeNcaMNMaMjIuL8+yzUaqFOpieS8eYEAD6tI2kVVggS3bqUMuWzlfa15r2zE00xuwXkbbAPBEpE74aY4yIeGQxIb3qqFTDM8awKzmb8+wJ3u2jQnTOnI9auXKlt6vQYhlj7gDuALB75m42xswUkU+A87ACvMuAr+xDvrbvL7G3/2y3n18D74vIU1gJUHoDfzTiU1GqxSouMRxKz6NjjNUz5+cnjOkeq/PmlM+0rzXqmTPG7Ld/HwG+wJrzdtgePon9+4i9e2VXGGt05VGvOirV8I5k5pOVX+QcYtkhOsS5zo5Sqt5uA24SkR1Yc+LesMvfAGLt8puw55obYzYCHwObgDnAdZrJUqnGcTQrn8JiQwc7mANrqOX+NJ03p3xDtcGciISLSKTjNjAN2EDpFUaoeOXxz3ZWy7FAuj0c80dgmoi0shOfTLPLlFKNzJHJsqe9FEGHmBAOZWjPXHWsqcCqvprj62iMWWiMOc2+vcsYM9oY08sYc74xJt8uz7Pv97K373I5/kFjTE9jTF9jzA/eeh5KtTSOC5md7GGWAGN7WPPmtHeucTTHNqGu6vJa1KRnrh2wSETWYg37+M4YMwd4BDhJRLYDU+37AN8Du7BSK78GXGtX7hj/3959h8dVXA0c/s1KWvXerWa59yp3DKaZEsCE3k0PgVASki9ACBBKQiChQwjdptdgOsbGVPcqF9mWXGSrWL13aef7Y+8K2VZZSatd7eq8z6NHq7l3756VLY3OnZkz8ACwzvi431YMRQjhXHuKagDajMz5y8bhXfDz86OkpEQ6nV7SWlNSUoKfn1/XJwshRB/LMzYMH9RmZG54TBARgWZWSTLX56Rv/UVP+8cu18wZdw4nttNeApzYTrsGburgWq8Ar3QrQiGEw+0tqibA7EVciPUXRnyo9bNsHN6xxMREcnJyKCoqcnUobs/Pz4/ERNmQVwjheraRufjQX5I567q5CNbsLUVrfdSG0sJxpG89XE/6x95sTSCEcFN7imoYGh3U2kHFGcncoYp6SeY64OPjQ2pqqqvDEEII4UB5FXUE+XoT4nf4n8Szhkby5bZD5JTVyRYFfUj61t7rzqbhQggPsdfYlsDGtr+ObE8ghBBiIMkrryM+1O+o0TfbujnZokD0d5LMCTHA1De1kFte11r8BNqOzElFSyGEEANHfpttCdoaHhNEZKBZiqD0kYbmFtbvl9IZjiDJnBADTE5ZHVpDcptpI7JxuBBCiIEor7yu3WROKcXMIdb95qQ4h+O9vz6H855fxYZsSeh6S5I5IQaY1jLM4Yd3XrJxuBBCiIGkvqmF4upGBoW2Xz1w5pAI8irqOVgqs1YcbdOBcgAWr8p2bSAeQJI5IQYYWzJ35J1I2ThcCCHEQGK7gdneyBy0WTe3t9hpMQ0UW3PLAfhiaz6FVXIjuTckmRNigMkrr8OkIDbY97B22ThcCCHEQNLRzU2bYTFBRAWZWb1XpgI6Uk1DM1mF1SyYNIimFs07aw+6OiS3JsmcEANMXkU9sSF+eHsd/uMvG4cLIYQYSHJbk7n2p1kqpZgh6+Ycbkd+JRYNCyYN4tgR0by5JpumFourw3JbkswJMcB0tNi77cbhQgghhKfLN6ZZxnWwZg6sUy3zK+o5UFrrrLA83paD5QCMSwhl4awUCiobWLq9wLVBuTFJ5oQYYGx76hwprjWZk6mWjnSwtJY3VssCbyGE6G/yyuuIDvbF19urw3NmDYkAZL85R9qaW0F8qB8xwX7MGxlDUoQ/i1btd3VYbkuSOSEGEK01eRX1JLQzMhcXYk3mCmTdnEN9sCGHuz/eRnlto6tDEUII0UZueV2HlSxthkYHERXkK/vNOdDWnArGJ4QC4GVSXD4zhbX7SsnIr3RxZO5JkjkhBpCSmkYamy3tTrOMDLIWRCmtkaTDkUpqGgCkuIwQQvQzHW0Y3pZ1v7kIVu8tlXVzDlBZ38Te4homJIa2tl2QloSvt0m2KeghSeaEGEA6q9wV4ueNj5eiuFqSOUcqMb6fsoefEEL0H1prY9lB58kcWNfNHaqsZ3+JrJvrrW25FQCMTwxrbQsLMHP2pAQ+3pRLRW2TiyJzX5LMCTGA2JK59tbMKaWICDRTaowkCcewJXMyfVUIIfqPyrpmahtbOqxk2ZZtvzmZatl7W3OMZC4h9LD2y2elUNfUwvsbZJuC7pJkTogBJLfcmlC0t2YOIDLQtzX5EI5RbJtmWSFJshBC9Be2bQk66g/bGhodSHSwrJtzhPTcCpIi/IkINB/WPi4hlLSUcF5fnY3FItNZu0OSOSEGkPzyOvx9vAgL8Gn3eGSQmWJZM+dQrdMsZWROCCH6jdaZKnYkc9Z1c7LfnCNszalgQkJYu8eumD2Y7JJavs8scm5Qbk6SOSEGkLyKOgaF+aGUavd4pEyzdKjGZgsVddb5/zLNUggh+g/bnqr2TLMEmDkkgoLKBvYV1/RlWB6tvLaRA6W1jE8Mbff4qWPjiA72ZfHK/c4NzM1JMifEAJJb3nnlrgiZZulQZW22I5ACKEII0X/kltdj9jIRFehr1/mzWtfNlfZlWB4t3VgvNyGh/WTO7G3ikunJfLe7iOwSSZrtJcmcEANIXnkdgzqp3BUZZKa2sYW6xhYnRuW5iquto5xRQWYZmRNCiH4kr7yOuFA/TKb2Z6ocKTUqkBhZN9crW41KlmM7SOYALpmRjJdSvLFatimwlyRzQgwQDc0tFFU1dDoyFxVkXZBcIlMtHcI2yjlmUCglNY00NEuSLIQQ/UG+sezAXrJurvfSc8pJjQok1L/9dfsAsSF+nDoujnfXHZQby3aSZE6IAaLAqKYY30nnFWFMN5Gplo5hS4rHxIcAUFgpSbIQQvQHeeX1nc5Uac/MIZEUVjWwV9bN9cjWnIqjtiRoz8LZg6msb2bJ5twevU59Uwsr9xQPmKqYdidzSikvpdQmpdRnxtepSqk1SqkspdS7Simz0e5rfJ1lHB/c5hp3Gu27lFKnOPzdCCE6ZE8Z5khjZK5UKlo6hC0pHjvImszJVEshhHC9FovmUGXna8jbM2uo7DfXU0VVDeRV1DOhg+InbaWlhDM6PoRFq7K7PQpaWFnPRS+s5pIX1/DXJdsGxChqd0bmbgUy2nz9T+BxrfUwoAy4xmi/Bigz2h83zkMpNQa4CBgLnAo8p5Ty6l34Qgh72cowd9Z5RRr7vtjWeoneKa5uxOxlYnhsECDbEwghRH9QWFVPi0V3O5kbHBlAbIivFEHpgW257W8W3h6lFFfMSiEjv5L12WV2v8bmg+Wc+cxP7C6o4lfj43lzzQHu+2S7xyd0diVzSqlE4FfAS8bXCjgB+MA4ZRFwtvF4gfE1xvETjfMXAO9orRu01vuALGC6A96DEMIOtjLM8aEdT7OMDLJOs5SROccoqW4gMshMXIj1ey4VLYUQwvV+2WPO/jVz8Mu6uVV7ZN1cd6XnVKBU58VP2lowaRAhft4ssnObgg835HDBf1dh9jbx0Y2zeeaSyVw3N5VFq7K5/7MdHv3vZe/I3BPA/wEW4+tIoFxr3Wx8nQMkGI8TgIMAxvEK4/zW9naeI4ToY7nl9UQGmvHz6XhAPNDsha+3iRJJ5hyipKaRyCAzof4++HqbZJqlEEL0A3nl1t/FnS076MisIZEUVzewp0jWzXXH1txyhkUHEeTrbdf5AWZvLkhL4qtthzrtO5tbLDz42Q5uf38LU5PDWXLTMYyKC0EpxV2nj+aqOYN59ef9/P2LDI9N6LpM5pRSZwCFWusNTogHpdT1Sqn1Sqn1RUWyA7wQjpJXXtfllBKlFJGBZimA4iAl1Q1EBvqilCIu1I9DUgBFCCFcrnVkrpOZKh2ZOUTWzfVEek5Fh5uFd+SymSm0aM1baw60e7yitomrXlvHSz/tY+GsFBZfM50IY7kIWP+mueeMMSyclcKLP+7jn1/t8siEzp6RuTnAWUqp/cA7WKdXPgmEKaVs6XUiYCs5kwskARjHQ4GStu3tPKeV1voFrXWa1jotOjq6229ICNE+azLXdccVGeQrWxM4SHF1Y2tRmdgQPwpkmqUQQrhcXnkdwX7eBPt1XCK/IymRAcSF+Eky1w2HKuoprGrocLPwjgyOCmTeiGjeWnuAxmbLYceyCqtY8OxPrN5bwsPnjOdvC8bh43V0WqOU4r6zxnLZzGSe/34P/1662+MSui6TOa31nVrrRK31YKwFTL7VWl8KrADOM05bCCwxHn9ifI1x/Ftt/a59AlxkVLtMBYYDax32ToQQHdJak1deR7wdZZgjg2RkzhG01pTUNBBlrEOMC/GTAigeSCnlp5Raq5TaopTarpT6m9EuFZ+F6KfyKup7NMUSbOvmIli9t9TjkoK+kp5TDsD4xLBuP/eK2YMpqmrgq+2HWtuWZxRw9rMrqW5o4e3rZnLR9OROr6GU4v6zxnHx9CSeWZHFE8syux1Hf9abfeb+DPxBKZWFdU3cy0b7y0Ck0f4H4A4ArfV24D1gB/AVcJPWWnYDFMIJKuubqWlssWtkLiLQLAVQHKC2sYX6JktrhVDrNMt66fw9TwNwgtZ6IjAJOFUpNROp+CxEv2XPsoPOzBpqWzdX7cCoPNfW3Aq8TKp1z9XuOG54NCmRASxeuR+tNc+uyOLaxetJjQrkk9/NIW1whF3XMZkUD509nvOnJvLk8kyeWu45CV23kjmt9Xda6zOMx3u11tO11sO01udrrRuM9nrj62HG8b1tnv+Q1nqo1nqk1vpLx74VIURHCo0RoTg7Ruaignwprm6QpKOXbKObtgqhsSF+NDZbKK9tcmVYwsG0le0vOh/jQyMVn4Xot6wzVbq/Xs7Gtm7uv9/vpWWAbEzdG+k5FQyPCcLf3P37UyaT4vKZKazPLuPyl9fy6Ne7OGviIN6/YVa3E3KTSfHwuRM4Z0oCj32zm2dXZHU7nv6oNyNzQgg3UWAU3ogJ9u3y3IhAMw3NFmobZeC8N4qNdYe2NXO27QkKqmSqpadRSnkppTYDhcA3wB6k4rMQ/VJdYwtltU29GplLiQzkhuOG8v6GHH77xgbqm6S/7IjWmq25FXZtFt6R86cm4e/jxc97irnjtFE8ceGkTitzd8bLpHj0vImcPWkQj369i/9+v6fHcXWmobmFtftKeXp5Js/30WvY2FcfVAjh1gqNBCI2xI4CKMa0wJLqRgLtLCEsjmYbmYsKNNbMhVo/H6qoZ1Rc96eaiP7LWDIwSSkVBvwPGNVXr6WUuh64HiA5ufN1IkKIo+UZe67as+ygM3ecNorYEF/u/2wHl7y4mpcWTjuskqKwyi2vo7SmsUfr5WxCA3z4z2VT8PPxah0V7Q0vk+Jf50+kRcM/vtyJl0lx7dwhvbpmXWMLmw6UsXpfKWv2lrDpYHlr0ZZ5I6O54bihvY67I/KXmhADQHdG5mwFO4prGkiODOjTuDxZSfXhI3O2RFr2mvNcWutypdQKYBZGxWdj9K29is85Pa34DLwAkJaWJvO7hOgm27YEg+xYdtCVq+akEh/qx63vbObc/6zktaumkRIZ2OvrepKtORUA3a5keaR5I2McEU4rby8Tj18wEYtF8+DnGWw+WE5CuD/hAWYiAsyEB5qJCPSxfh1oJsTPB5NJtT6/pqGZ9dllrNlbwtp9pWzJKaepRWNSMGZQCJfPTGFGagTTUyMIC+jbJF+SOSEGgMKqeoJ8ve0aabPdWSyVipa9Ytt43fb9jAm2JnOHKmTbB0+ilIoGmoxEzh84GWtRE1vF53dov+LzKtpUfFZKfQK8pZR6DBiEVHwWok/kGxuG92aaZVunjovnzWt9uXbxes55biWvXDmNiUlhDrm2J0jPrcDHSzEqPtjVoRzF28vEExdNItjPm+92FbF0R8FRWyDYmBSEG0mej5eJ3QVVtFg0XibF+IRQrp6TyowhEaQNjiCkB1te9Op9OPXVhBAuUVjZYNeoHPwykiR7zfVOcXUDwb7erfP6zd4mooLMsj2B54kHFhmVJ03Ae1rrz5RSO4B3lFIPAps4vOLz60bF51KsFSzRWm9XStkqPjcjFZ+F6BO55XUoZa0w7ChpgyP48LezWfjKWi56YTXPXDKZE0fHOuz67mxrTgUj44Lx9e6fxXl9vEw8fO4EwLq+r7axhdKaRspqG9t8bqKsppHS2kbKahqpaWzhhFHRzEiNZGpKuMuXpEgyJ8QAUFBZT0yIncmcscarRLYn6JWSNhuG28SG+Mk0Sw+jtU4HJrfTvpd2qlFqreuB8zu41kPAQ46OUQjxi/yKOmKCfdvdYLo3hkYH8dGNs7nmtfVct3g9D5w9jktnpDj0NdyN1pr0nHLOmDjI1aHYRSlFoDGLKSnCfZaZSDVLIQaAwqoGu4qfAPibvQgwe8nG4b1UUtPQui2BTVyIH4cqJJkTQghXySuvd9gUyyPFBPvxzvUzOXZENH/53zb+9fWubm3zo7XmYGktS7cf8ogbf9kltVTWN/d6vZzonIzMCeHhtNbWkTk7p1mCdaqlrYCH6JmS6kaSj7izFxvqx6aD5WitsW4tJoQQwpnyyusY3YPNq+0V6OvNS1ekcffH23hmRRZ5FXU8fM4EzN5Hj59UNzSTfrCcTQfL2XSgnM0Hyyg2bqT6+Zi49pgh/Oa4IQQ7eQ2Wo6TnWoufjO/FtgSia5LMCeHhKuubaWi22D0yBxAR6CvTLHupuLqRycnhh7WNigvmrTUHOO3JH7lu7hDOnDio3Q5eCCGE42mtyauo48TRjq2MeCRvLxP/OGc8g8L8eeyb3RRWNvDsJVPIr6xj8wFb4lbO7sIqbAN3Q6IDOW5EDJOSwxgWHcTbaw/wzIos3lp7gJtPGMalM1Lcrr/YmlOO2dvEiNj+V/zEk0gyJ4SHKzSmakR3Y2QuKtBMvkwH7DGLRVNa00DUEWvmLpmejL+PFy/+uJfb39/CKz/v47Obj5FROiGEcIKy2ibqmyx9Ns2yLaUUt5w4nPhQP+78aCuTHljamriF+vswOTmM08bHMTk5nEmJYYQGHD76NmtoJNfNHcI/vszgb5/u4NWf9/PHU0Zyxvj4w0rk92fpORWMiQ9x+PpEcThJ5oTwcIVV1umS3RuZM7M9r7KvQvJ45XVNWPQvG7DbeHuZOD8tifOmJvLEskyeXJ5JXkU9CU74w0IIIQY62x5z8Q7YY85e56clkRgewPKMAsYMCmFycjiDIwPsuok3PjGUN6+dwfe7i3j4y53c8vYmXvxhL3eeNorZw6KcEH3PWSyabbkVnDs10dWheDxJ5oTwcLZF1N1bM+dLSU2DrO3qoV82DG//e66UYs6wKJ5cnsnugipJ5oQQwglsyZyzf+fOGhrJrKGRPXquUop5I2OYOzyajzfl8u+lu7jkpTXMGxnNn08d1afr/3pjb3ENNY0tjJfiJ31Oxj2F8HAFldbEIqYbI3NRQWaaWjSV9c19FZZHsy1gP3JrgraGxwQBkFlQ5ZSYhBBioGsdmQtz3B5zzuJlUpw7NZFv/ziPu04fxcbsMk5/6kduf29L6/vqT7bmlgMwITHMpXEMBDIyJ4SHK6yqJ8jXm6BubGoZYUwPLK1pJNTfPatouZJtw/WoDkbmAMIDzUQF+bK7oNrhr19c3cC/l+6mtKaBEbHBjIgN5uQxsa0bmAshxECUV1GP2dt01BR4d+Ln48X1xw7lgrQknvtuD6+t3M/SHYf48ta5JIb3n73RthyswN/Hi6HRga4OxePJyJwQHq6wsqFbUyzhl+mBsj1BzxRWdp3MAYyIDSKz0HHJnNaaDzfkcNJj3/PhhhwyC6p57rs93Pz2Jv768TaHvY4QQrijvPI6EsL8PWL5QFiAmbtOH82Xt87FYtH83wfpWCz272nX17bmVjB2UAjeUvykz8l3WAgPV1hVT0xI95K5aCMJsU3RFN1zoLSWIF9vwgM6H9UcERtMVkFVtzaV7YjWmt+9vYnb39/C0OggPr/lGL794zy2/+0UzpuayKfpeVTWN/X6dYQQwl3lldcRH+p+Uyw7MzQ6iL/8agwr95TwxppsV4cDQHOLhe15FTLF0kkkmRPCwxVUNhAT3L3OKyHcujg8t7y2L0LyePtLakixo1rZsJggahpbyHXAeofXV2fzeXo+t500nPd/M4vhxr4+fj5eXD4zhfomC59szuv16wghhLvKr6h3yrYEznbx9CSOHRHNP77Yyf7iGleHQ1ZRNfVNFibIZuFOIcmcEB5Ma01hVT2x3RyZC/X3IdjPm5yy/reo2h0cKKklJbLrtQu2jVS7O9WysdlCY7Ol9euswmoe+jyD40ZEc+uJw4/ag2hCYiij4oJ5b/3Bbr2OEEJ4iqYWCwWVnpnMKaX457nj8fZS/OmDLbS4eLplek4FYN1aQfQ9SeaE8GCV9c3UN1m6tcecTWJ4ALmSzHVbc4uFg2W1pER2veh7RGz3KlpW1TfxzLeZTP/7Mmb8fRkv/LCHyvombnt3EwFmLx49b0K7o4FKKS6clkR6TgUZ+bJ/oBBi4CmorMeiYZCHTbO0iQ/1594zx7Jufxmv/rzPpbFszakgyNebVDv6QdF7kswJ4cEKjT3mortZAAWs+/D0dmTujdXZLHjmpwGVQORX1NPUohlsx8hcWICZ6GD7Klp+uCGHY/65gn8t3c2U5HDGJ4bx9y92Mv2hZWzLreQf50zodPuJsyclYPYy8e46GZ0TQgw8+RXW/tATR+Zszp2SwEmjY3nk611kObC4Vnel51YwLiHkqFkiom9IMieEByusshYw6dnInD+55XU9Ls7x6s/7uPvjbWzPq+T851fx3a7CHl3H3ewvsa5XSI6w747k8JigLkfmVuws5E8fbGFkbDCf/u4YXrlyGouvns57v5nFtMERXH/sEE4dF9fpNcIDzcwfG8vHm3NpaG6x780IIYSHsO3F5snJnFKKv58zjgCzF7e/v4XmFkvXT3KwxmYLGfmVUvzEibpM5pRSfkqptUqpLUqp7UqpvxntqUqpNUqpLKXUu0ops9Hua3ydZRwf3OZadxrtu5RSp/TZuxJCANZpJUC3tyYAazJX3dBMRV33KyC+/NM+/vbpDk4ZG8uKP84jOSKAq19bx1trDnT7Wu4mu8RaNGZwlH37/YyIDSazsLrDpDkjv5LfvbWR0fEhvHb1tMPWIExPjeD1a2Zw1+mj7XqtC6clUV7bxNLtBXadL4QQniK3NZnzzGmWNjHBfjywYBxbDpbz3x/2Ov31dxdU0dhsYXyCrJdzFntG5hqAE7TWE4FJwKlKqZnAP4HHtdbDgDLgGuP8a4Ayo/1x4zyUUmOAi4CxwKnAc0op2cFWiD5kG5nrbPpdRxKNipbdnWq5PKOABz7bwalj43jmkikkRQTw/g2zmDMsir8u2UZ5bWO3Y3En2SU1+HqbiLWzgujw2CBqO6hoWVhVzzWvrSPIz5uXF04jwGz/xu/tmTM0irgQPz5Pz+/VdYQQwt3kl9cTFuDT69+j7uDMiYP41fh4nli2m52HnLvMwVb8RCpZOk+XyZy2sk289TE+NHAC8IHRvgg423i8wPga4/iJyroifwHwjta6QWu9D8gCpjviTQgh2ldQWU+g2Ysg3+53Xglh1pGl7iZzX28/RKi/D09fMhkfY7PQQF9v/jh/JC0Wzbc7PXu65X6jkqW9awVaK1oesW6utrGZaxetp6y2iZcXTiPOAYv2TSbFyWNi+X53EfVNXU+1tFg0X27Np6K289FZ2b9OCNHfWfeY89wplkd64OxxhPr78Id3txxW/bivbc0tJ8TPm+QI+2aniN6za82cUspLKbUZKAS+AfYA5VrrZuOUHCDBeJwAHAQwjlcAkW3b23mOEKIPFFY19Gi9HPwyMtfdPdDW7S9j2uDw1kTOZnxCKHEhfh4/xe9ASa3d6+XAumYOrFNTbFosmlve3sS23Aqevngy4xw4XWX+2Fjqmlr4KbO4y3O/2JbPb9/cyLnPrySn7Og9B3PL67h3yTamP7SMHXkDp8iNEML95JbXkeDhUyzbigg089Cvx7Mjv5JnVmQ57XXTc6ybhXe1z6pwHLuSOa11i9Z6EpCIdTRtVF8FpJS6Xim1Xim1vqioqK9eRogBobCynphu7jFnY52O4tXuH/EdKapqYF9xDdMGRxx1rLujQu7IYtFkl9bYVcnSxlbR0rbXnNaa+z/dzrKMQu47aywnjYl1aIwzUiMJ9vNm6Y5DnZ6ntebFH/YSH+pHYWU9v35uJdtyKyisqueLrfnc/t4WjntkBW+uOcBZEwcR4u/5U5eEEO7LUzcM78wpY+P49eQEnl2RxVZj+mNfqm9qYdehKtlfzsm61ftqrcuVUiuAWUCYUsrbGH1LBHKN03KBJCBHKeUNhAIlbdpt2j6n7Wu8ALwAkJaW5tpdD4VwcwWVDUxKCuvRc5VS1oqW3ZhmuX5/KQBp7SRzYB0Ven11Nj9lFrebpPyUWcyafSVcNSeViEBzj+J2pcKqBuqbLKREdW9vnRGxQazbX8ojX+0kI7+SFbuKuG5uKlfMGuzwGM3eJk4YFcOyjEKaWyx4e7V/T2/tvlK25FTw4NnjmJEawZWvrmPBsz+3bkbr7+PFZTNTuO7YISQMsD+QhBDupcYo5jWQplna3HfmWFbuKeb29zfz6c3H4Ovdd+Uqdh6qotmimSjJnFPZU80yWikVZjz2B04GMoAVwHnGaQuBJcbjT4yvMY5/q61l2j4BLjKqXaYCw4G1DnofQogjaK0prKontocjc2Dda6470yzX7i/Fz8fUYRWrrkaFHvl6J09/m8Vxj67g+e/3uN0Inm1bgpRurhWYmBhGdkktL/ywl+zSWq49JpU7T7OvQmVPzB8TR2lNIxuyyzo858Uf9xIRaObcKYkMjw3mfzfO5opZKdx1+ig+unE2W+6dz31njZVETgjR7+VXDIxKlu0JDfDh4XMnsLugmse/yezT19qaUw7AeNmWwKnsGZmLBxYZlSdNwHta68+UUjuAd5RSDwKbgJeN818GXldKZQGlWCtYorXerpR6D9gBNAM3aa3d6y81IdxIRV0T9U2WHq+ZA0gMD2DjgXK7z1+/v4xJSWGYvdu/T9R2VKjFovFqUySkoLKe9JwKLp6eREFlAw9/uZOnl2eSNjiCGUMi+PXkhH5/V/WAbVuCyO6NzN120ggumpZMfJjfUWsN+8JxI6Mxe5lYuqOAGUMijzq+p6iaZRmF3HricPzN1ru4MSF+3Hvm2D6PTQghHC233LpNz0C9+XT8yBguTEvihR/2MH9sLFOSw/vkddJzKogMNDPIAQW7hP26TOa01unA5Hba99JONUqtdT1wfgfXegh4qPthCiG6K8/ovHqzRiAh3J+Kuiaq6psI9vPp9Nzqhma251Vw0/HDOj1v/pg4lmzOY0N2GdNTf5mOuTzDWuXyytmpjIwLZtWeEr7Yms/qvSU88tUulmzK46vb5vbrRdX7S2rwNqlu3/01e5tI7sY6u94K8vVmzrBIlu44xN2/Gn3U9/SlH/fh623i8lkpTotJCCH6im3D8PgBmswB3H3GaH7KKuaP723h81vmtt6o6ymtNUVVDWQVVbO3qIY9RdUs31nIhMTQft1PeyJZsS6Eh7JNK4nvxR2ythUtR8V1nsxtzC7Domm3+ElbraNC2w8dlswtyyggKcKfEbHW6o6zhkYya6h11Oi9dQf5vw/TWbmnhDnDonr8fvpadkktieH+Ha5D60/mj41jxUdb2XmoitHxIa3thVX1fLgxh/OmJhIV1PMpukII0V/kl9dhUhAbPHB/pwX7+fDIeRO49KU1TLx/KdFBvkQFmYkK8iU62Jco4+voYD9ru9Hm620iu6SWPUXV7C2qZk9RDXuNBK6qobn1+v4+XqRGBXLJ9GQXvsuBSZI5ITyU7U5kr0bmjOfmltUxKi6k03PX7S/FpGBKSufTN2yjQl9szef/Th2F2dtEbWMzP2cVc/H05Hbv6J01aRD//Gonr/68v38nc6U1pHRziqWrnDQ6lrvUVt5dd5D7zvpl+uRzK/bQYtFcP3eIC6MTQgjHyS2vJzbEzy1utPWlOcOiePGKNNbvL6WouoHi6kbyK+pJz62gtKaxtcBVZ+JD/RgaHcSvpyQwNDqIIdGBDIkOIj7Ez+79VYVjSTInhIfKq6jH26R6NbqSYIzM2bNx+Lr9pYwZFGLXBuULZw/mylfX8drKfVx/7FB+yiymodnCyR2U4ffz8eKSGck8syLLuo+bE6ck2ktrTXZxLVP7aC2Co0UH+3LRtGReX53NhdOSGB0fQn5FHW+tOcB5UxIZ3M2KnEII0V/lldcNuG0JOnLymNh2+1qLRVNW20hxdSNFVQ0UV1s/ahtbSIkMYGh0EKlRgQTa0ccL5xrYtyiE8GD55XXEhfodVmSku6KNKRZdVbRsbLaw6UB5l1MsbeaNjOGEUTE8tTyLoqoGlmcUEuznfdi0yyNdNjMFL6VYtGp/d96C05TWNFLV0Ow2I3MAfz51JKH+Ptz98TYsFs0z32ah0dx8YufrHoUQwp3kV0gy1xWTSREZ5MvIuGCOGR7F2ZMTuHbuEG45cTgLJiUwLiFUErl+SpI5ITxUXkU9g3pZ/VEpRUKYf5cbh2/NraCh2cJ0O5M5gLt/NZqG5hb++dVOlu8s5LgR0Z1WcowN8eP08fG8t+4gNW3m6fcX2aXW71FKPxw17EhYgJk7TxvFhuwyHl+2m3fXHeSiackkhrvPexBCiM5YLNroD6XCovBMkswJ4aHyyuuId8CeOgl2bBy+0divbOpg+6cYDokO4qo5qXywIYfi6oYOp1i2deWcwVQ1NPPRxhy7X8dZMguqAEh1s+mJ501NZPrgCJ7+NguTSXVZjVT8QimVpJRaoZTaoZTarpS61WiPUEp9o5TKND6HG+1KKfWUUipLKZWulJrS5loLjfMzlVILO3pNIUT3lNQ00thskZE54bEkmRPCA1ksmoLKeod0Xonh/l2umduWV0FciB8xwd1LHn93wjCigsx4mRTzRsR0ef6U5HAmJoayaFU2Wne9UNuZNmSXERbg43bJnFKKB84eh9nLxJWzBxMnd6+7oxm4XWs9BpgJ3KSUGgPcASzXWg8HlhtfA5wGDDc+rgf+A9bkD7gXmIF1y597bQmgEKJ3ftkwXJI54ZkkmRPCAxVXN9DUoh0yrSQxPICSmkbqGls6PGdrbgXjEkK7fe0QPx8ev3ASd/9qNKEBnW99YHPZzBSyCqtZs6+026/XlzZklzE1Odwt99cZGRfMT3cczx2njnJ1KG5Fa52vtd5oPK4CMoAEYAGwyDhtEXC28XgBsFhbrQbClFLxwCnAN1rrUq11GfANcKrz3okQnqt1jzm5USU8lCRzQnigvArrhuHxvVwzB222Jyhvf91cdUMz+4prGN+DZA5g7vBorpqTavf5Z04cRKi/D2+szu7R6/WFsppG9hTVdLktQ38WEyxlpXtDKTUYmAysAWK11vnGoUOAbQ5xAnCwzdNyjLaO2oUQvZRXbu0PE2RkTngoSeaE8ECtdyIdsGYuKcLaAWaXtJ/M7cirRGsYn9j5PnSO4ufjxXlTE/l6+yGKqhqc8ppd2XTQWDPoxsmc6DmlVBDwIXCb1rqy7TFtnQ/ssDnBSqnrlVLrlVLri4qKHHVZITxWXnkd/j5ehNk5+0MIdyPJnBAeyJbMOeJO5LCYYAB2F1S3e3xrbgUA4wb1bGSuJy6dkUxTi+a99Qe7PtkJNmSX4WVSTEwMc3UowsmUUj5YE7k3tdYfGc0FxvRJjM+FRnsukNTm6YlGW0ftR9Fav6C1TtNap0VHRzvujQiPprUmq7CKN1Znc/Pbm5j59+Vcu2i9XZtEu7u8CmsxMHecAi+EPWTDCCE8UH5FPf4+XoT69/5OZKi/D3Ehfq3VGo+0LbeCmGBfYkKctx5hSHQQc4ZF8taaA9xw3NBe7aXnCBuyyxg7KAR/s5dL4xDOpax/Hb4MZGitH2tz6BNgIfCw8XlJm/bfKaXewVrspEJrna+U+hr4e5uiJ/OBO53xHoRnslg0uwqqWLO3hDX7Slm7r5SSmkYAYkN8GREbzLKMAp5Ytpvb5490cbR9K6+8XqZYCo8myZwQHsi2LYGj7kSOiAtmVyfJXE/Xy/XGZTNS+O2bG1mxs5CT7NjWoK80tVjYfLCci6cnuywG4TJzgMuBrUqpzUbbXViTuPeUUtcA2cAFxrEvgNOBLKAWuApAa12qlHoAWGecd7/Wun9V+BH9XkZ+JT9nFbNmXynr9pdSXtsEWGdoHDcimhlDIpiRGklKZABKKf7vgy08/W0Wk5LCOHG0636H9rW88jrmjZRRbOG5JJkTwgM5YsPwtkbEBPH63hJaLPqwUbDaxmb2FFVz2vh4h72WvU4aE0tsiC/Xv76eUXEhpA0OJ9YYHdRac9r4eIZGB/V5HBn5ldQ3WWS93ACktf4J6OiOyYntnK+Bmzq41ivAK46LTgwkSzbncus7mwFIiQxg/phYZqRGMmNIBInhAe0+5/4F49ieV8nv393MZzfPJTmy/fPcWWOzhaLqBtmWQHg0SeaE8ED55XWMdOCdyBFxwTQ0WzhQWnvYPmo78iqxaFwyMufjZeLt62ayZHMe67NL+WBDDrVttk/4IbOY934zq93n1jW2cN3i9Zw7NYFfT07sVRwbsqX4iRDCdSrrm3jgswwmJoXx38um2r1XpJ+PF/+5dCpnPP0jN7yxgY9unI2fj2dNFS+orEdr2WNOeDZJ5oTwMLY7kY7YlsBmRKytCErVYcncNqP4iSuSObCunfv9ySMAaLFomlosmJTitZX7+PsXO9maU8H4xKNj+3RLHj9lFbNmXwkJYQFMT43ocQwbsssYFOrn0O+3EELY64lvMimpaeCVK9PsTuRskiMDeOKiSVz92nr++vE2HjlvgkcVCsk1ioE5cqaKEP2NVLMUwsP8cifScQVJhsdYpyvuPnT4urmtuZVEBZmJDfF12Gv1lJdJ4efjhdnbxEXTkwny9ebln/a2e+7rq7MZEh1IUngAN7yxgZyy9rddsMfG7DK33l9OCOG+MvIrWbRqP5dMT2ZCD6vpnjAqlltOGMb7G3J4d13/qBDsKLbKzo7sD4XobySZE8LD/NJ5Oe5OZKCvN4nh/uwuPHx7gm25FYxLCO13d3JD/Hy4IC2Jz9LzOWRsoG6z5WA5W3MruHL2YF5cmEZTi4VrF62npqG526+TV15HXkW9TLEUQjid1pp7lmwjxM+bP53Su4qUt540grnDo7jnk+1szalwUISul2/8/pdplsKTSTInPMonW/KO+uN9oLF1Xo6e9jcyNviwkbm6xhYyC6tcNsWyK1fNGYxFaxat2n9Y+xurswkwe/HryQkMjQ7imUumsLugit+/uxlLmz2XtNZk5Fd2ug/ThxtyAHo1TVMIIXri4825rNtfxp9PHUVYgLlX1/IyKZ68aDLRQb7c8MYGyoxtDNxdbnkdEYFmj1sLKERbkswJj/HVtnxueXsTd3+81dWhuFReRd9MKxkeG8ze4mqaWiwAZByyFj8Z10+TuaSIAE4ZG8ebq7NbR93Kaxv5ZEseZ09OINjPugffcSOiuftXY1i6o4B/Ld0FQHOLhXuWbOe0J3/kL//birUI4eGyCqt5+tssfjUhnrFO3DBdCCEq65t46POdTEwK44K0pK6fYIeIQDPPXTqFoqoGbnt3s0dsKJ5fXidTLIXHk2ROeISKuibuWbIdb5NiWUYhWUdMBxxI8srrCPX3IcDs2PpGI+OCaGrR7C+uAWDp9gJMCiYnhTn0dRzp2rmpVNY388f3t/D97iLeXnuQhmYLl81IOey8q+YM5uLpSTz33R5eX53N1YvW8/rqbCYlhfHOuoO8tnL/YedbLJo7PkzH3+zFfWeOdeI7EkKIX4qePLBgLCaT46a5T0wK454zx/D97iKe/jbTYdd1lbxyx27TI0R/1GUyp5RKUkqtUErtUEptV0rdarRHKKW+UUplGp/DjXallHpKKZWllEpXSk1pc62FxvmZSqmFffe2xEDzyFc7Ka5u4KWFafh6mzosfDEQ5JfX98n6gOExtoqW1dQ2NvP22gOcMjaOmJD+e9dzSnI4V80ZzPe7i1j4ylr++dVOpqaEM2ZQyGHnKaX421njmDkkgr9+vI2VWcU8fM54PvrtbE4eE8sDn+3gx8yi1vPfWJPN+uwy/nrGGKKDXV/8RQgxcOw81PuiJ525dEYy50xJ4MnlmXy3q9Dh13emvPI6WS8nPJ49t+6bgdu11huVUsHABqXUN8CVwHKt9cNKqTuAO4A/A6cBw42PGcB/gBlKqQjgXiAN0MZ1PtFalzn6TYmBZd3+Ut5cc4Brj0ll3sgYzp2ayAcbcvjDySMH5B/a1g3DHZ9gDYsJwqRgV0EVZbWNVNQ1cfUxqQ5/HUdSSnHvmWP586mj+DmrmO93F7FgUkK755q9Tfzn0qk88PkOzpuSyOxhUQA8fuEkzn1uJTe+sZFJyWF4mxRr9pUyd3gU505p/1pCCNEXtNbc8/F2hxQ96YhSiofOHs+OvEpufWczn918DEkR7reheFV9E1UNzTLNUni8LpM5rXU+kG88rlJKZQAJwAJgnnHaIuA7rMncAmCxti4yWa2UClNKxRvnfqO1LgUwEsJTgbcd+H6EB2tstrBqbwlLtx9iWUYBZTVN+PqYaGy2kBDmzx/mW/cbu/aYVN5ee4DFq/Zz+/y+6ez6qxaLJqe0lrQ+qK7o5+NFSmQguw5V8nl6NeMTQvvkdfqCn48XJ46O5cTRsZ2eFx5o5rELJh3WFuTrzUsL0/jbp9sprWmkqUUzKSmMf5wzvt9V8RRCeLaPN+eydn8pD58zvtdFTzrjb/bi+cumcuYzP3Hjmxt5/4ZZbldE5K01BwAYJ2uahYfr1qIapdRgYDKwBog1Ej2AQ4Dtr6QEoO1GJTlGW0ftQnSprrGFXz/3MzsPVRFg9uK4EdGkRAbS0NxCc4vm4unJrWvEhkQHcfLoWF5fnc1v5w11+Nqx/mxbbgVVDc2kDe6bJGtEbBDf7iykqUXzxIWTBkwykxQRwEsLp7k6DCHEAFZZ38Tfv3Bs0ZPODI4K5LELJnHd4vXc98l2t7qBdaCklseX7Wb+mNjWWRZCeCq7/8pVSgUBHwK3aa0r2/5Aa621UsohZY+UUtcD1wMkJyc74pLCAzz8ZQY7D1Xx6HkTOHPioC7vEF5/7BCW7ijgw425XD4zpdNzPclPWcUAzOmjzmtEbDBfby8gJtiX08fH98lrCCGEONoT32RSXN3AywvTHFr0pDMnj4nlxnlDee67PazcU8Jp4+M4fVw8ExL73/6iNlpr/vLxVrxNJv62QApUCc9nVzVLpZQP1kTuTa31R0ZzgTF9EuOzbZVsLtD2llGi0dZR+2G01i9ordO01mnR0dHdeS/CQ32/u4hFq7K5as5gzk9Lsmuqx9SUcEbGBvPxpqP+i3m0HzOLGB0fQlRQ36wVHBFrLYJyxawUzN5SDFcIIZyhr4uedOb2+SN59LwJDI4K5OUf97Hg2Z855p8reOjzHWw8UNbu1i2u9PHmXH7MLOb/Th3p8P1WheiP7KlmqYCXgQyt9WNtDn0C2CpSLgSWtGm/wqhqOROoMKZjfg3MV0qFG5Uv5xttQnSorKaRP72/heExQfz51FF2P08pxYLJg9iQXcbB0to+jLD/qG1sZkN2GXOH992Uknkjo/nNcUO4YvbgPnsNIYQQv3BG0ZPOeJkU56clsfjq6ay/+yQeOW8CI2KDeG3lfs55biVzHv6W+z/dwYbsUiwu3puutKaRBz7LYEpy2FFb0AjhqeyZZjkHuBzYqpTabLTdBTwMvKeUugbIBi4wjn0BnA5kAbXAVQBa61Kl1APAOuO8+23FUIToyH2fbqestpFXr5rW7cXXZ04YxCNf7eKTLXncdPywPoqw/1izr5SmFs0xfbg+INjPhztPG91n1xdCCHE4ZxU9sUdYgJkL0pK4IC2Jiromlu0o4Mtt+byxOptXft5HbIgvp42LZ0x8CDWNzdQ0NFPd0EJNg/Wxta2FatvXDc0A3HfWWOaPjet1fA99nkFlXRP/OGeC06aiCuFq9lSz/Ano6CfixHbO18BNHVzrFeCV7gQoBq6DpbV8siWP3xw7lLE9qEaVFBFAWko4H2/K5cZ5Q/vt/H5H+SmzGLO3iempEa4ORQghhAM4u+hJd4T6+3Du1ETOnZpIVX0TyzMK+WJrPm+tPUBjs6X1PLOXiUBfLwJ9vQk0exPo60WwnzfxoX4EmL3ZnlfB797exKKrpjNraGSP4/kps5gPN+bwu+OHMTIu2BFvUQi3MHDK/Am38+aaAyis67N6asGkQfx1yXZ2HqpidHxI109wYz9mFjF9cITblY8WQgjRPlcUPemJYD8fzp6cwNmTE6hpaKa0ppEgX28Cfb27XF9dXtvI+c+v4rrF63nn+pmMS+j+zdu6xhbu+t9WUqMC+d0Jnj8TR4i2pIKB6Jfqm1p4d90B5o+JY1BYzxcwnz4+Hi+TYsnmPAdG1/8UVNazu6CaY/pwvZwQQgjncWXRk94I9PUmKSKA8ECzXYWywgLMLL5mOqH+Plz56lr2Fdd0+zWf+jaTA6W1/P3X4+WGphhwJJkT/dJn6fmU1Tb1alQOIDLIl7nDo/h0S57LF2b3pZ8yrVsS9OV6OSGEEH2voraJxav285vXN7is6ImzxYf6s/ia6Vg0XP7yGgoq6+1+bkZ+JS/8sJcL0hJ7NU1TCHclyZzol15ftZ9hMUEO+cW8YNIgcsvrWJ9d1ul5jiivXN/UwpaD5b2+Tnf9lFVMZKCZMR4+lVQIITyRxaL5OauYW97exLS/L+OeJdsJNHvz1MWTXV70xFmGRgfx2lXTKKtp5IqX11JR29Tlc1osmjs+TCfM34e7TpfiXGJgkmRO9DtbDpazJaeCy2emOKRoyclj4ggL8OGBz3bQ0Nxy1PGmFgtPLstk0v3fsHpvSa9e619f72LBsz/z0o97e3Wd7iisrOfbnYXMGRbVr9dUCCGEOFxueR1PLsvk2EdXcOlLa/huVyEXTUvis5uP4Ytb5zJ3+MDab3dCYhgvXJHGvuIarlm0jrrGo/vsthav2s+WnAruOXPMgEl6hTiSJHPCZSpqmyiqajiq/bWV+wk0e3HOlASHvE6QrzePnDuBrbkVPPzlzsOO7cirZMEzP/P4st3UNbXw6Ne7ejxC19Ri4X+bcvHzMfHg5xlOSehaLJpb39lMQ3OLLPoWQgg30NDcwmfpeVz+8hqO+ee3PL5sNymRATx50STW/uUk7l8wrkdFQDzFnGFRPHHRJDYcKOOmtzbS1GJp97zc8joe/XoX80ZGc9bEQU6OUoj+Q6pZCpf5/Xub2Z5XwdLbjiM0wAeA9JxyPt6cy7XHpBLs5+Ow15o/No6r5gzm1Z/3M3toFKPignl2RRYfbMghLMDM85dNpaiqnr8u2c7PWSU9KiTy/a4iSmoaef6yqSzZnMuDn2dgUoqrj0l12Ps40lPLM1m1t4RHz5vAiFgpxSyEEP1RU4uFDdllfLXtEB9vzqW8tolBoX7cfMJwzp+aSFJEgKtD7FdOHx/Pg2eP4y//28afP0jnX+dPPGzmiXUj9W1oDQ8sGOfxWw8J0RlJ5oRL1DQ081NmMY0tFv722XYeu2ASFovmniXbiQz05eYThzv8Ne84bRTr9pdy6zubaGy2YDIpLpuZwq0nDic80ExDcwvPrtjDk8t3M2dY5FGdQ1ZhFZ+nH+KauakE+R79o/PhxhwiA82cODqGE0fHcNObG3nw8x3MHR7F8D5ItFZmFfPUt5mcMyWB8/vZ/kNCCDHQ5ZbX8f2uIr7bVcjKPSVUNzRj9jJx8thYLkxLYs6wKLxkanyHLp2RQml1I//+ZjfhgWbu/tXo1n75i62HWL6zkLt/NVoSYTHgSTInXOKnLGsid8ywKD7amMtp4+Ipq2lk88FyHrtgIiEOHJWz8fX24pmLp3Dd4vXMGhrJjfOGERfqd9jx384byr2fbGfVnhJmt6kM+cXWfP70/hZqGltYvrOAV66cRlSQb+vx8tpGlmcUctnMFHy8rLOXHz53Asc+soJ/Ld3Ffy9Pc+h7abFo/vRBOkOiAnlgwTiHXlsIIUT3NTS3sG5fGd/tKuT73UVkFlYDkBDmz1mTBnHciGhmD4106KwTT/e7E4ZRUtPIyz/tIzLIzI3zhlFR28S9n2xnfEIoV84e7OoQhXA5SeaES6zYWUiwrzcvXDGVc55byV3/24rFoklLCefXkx2zVq49g6MC+eYPx3V4/MJpSTz3XRZPLMskKSKA0ppGPkvP48Uf9zE5OYyLpydzz5JtnP/8KhZfPb31juCnW/JobLFw7tRfYo8INHPt3FSeWJbJ5oPlTEoKc9j7WLmnmNzyOp69ZAqB7YwSCiGE6HsFlfV8vf0Q3+8qYuWeEuqaWjB7mZgxJIILpyUxb2Q0Q6ODZBpgDymluOeMMZTVNvLIV7uICDCzJaeCstpGXrtqGt5eUvpBCPkrUDid1poVuwqZOyKKALM3/75gIgue+RmL1ixeMN2lnZ6fjxe/PW4o9326g7mPrGhtv2xmMn89Ywy+3l4MjQ7i6tfW8evnfuaWE4dzQVoSH2zMZXR8CGMHHb5o/dq5Q1i8KptHv97Jm9fOdFicH27IIcTPmxNHxzjsmkIIIeyXX1HH6U/+SFltE8kRAZyflsi8kdHMHBJJgFn+vHIUk0nx6HkTKa9tst741XD9sUMGdJEYIdqS3zbC6bbnVVJQ2cDxI62JyNhBofz7gonUNbYclQy5wiUzUvDyMuHrZSIi0ExCuD+j2+zfNjUlnA9/O4s7P9rKPUu289TyLIqrG7j7V0fvcRPk681Nxw/jgc928HNWMXMcsKl3VX0TX20/xHlTE/Hz8er19YQQQnRPc4uFW9/eTEOzhU9+N4cJiWGuDsmjmb1N/OeyKVzx8lpKaxq57STHr6sXwl1JMiecbsXOQgDmjfxlVGnBpL6bWtldZm8Tl89M6fScYTHBvPebWazaW8KTyzJpbG7p8D1cOiOZl3/cy98+3c6zl0zpdTGUL7bmU99k4dwpib26jhBCiJ55+tss1u4v5bELJkoi5yQBZm/e+80sGlssciNTiDZksrHola+3H+L6xespr220+znf7ipkYmIo0cG+XZ/cjymlmD00ind/M4vN98zv8P34+XjxwNnjyCuv55QnfuDOj9IpqKzv8et+uCGXIdGBDl2DJ4QQwj6r9pTwtFFJ+By5qeZUJpOSRE6II0gyJw6zr7iGy19eQ255XZfnHiyt5fb3trB0RwHXLV5PfVNLl88pqW5g88Fyjh/lWWu9TF2Ulz5xdCzf/2keV8wazAcbcjjpse9bRyi7I7ukhrX7SzlvaqIsqBeiH1BKvaKUKlRKbWvTFqGU+kYplWl8DjfalVLqKaVUllIqXSk1pc1zFhrnZyqlFrrivYiuldY0ctu7m0iJlErCQoj+QZI5cZh31h7gx8xi/vjeFiwW3eF5LRbN7e9tAeAvp49mfXYZt7y9iZZOngPw/e4itIYTPCyZs0dkkC/3nTWWpb8/jqTwAK5etI5nvs3s9Pt8pA835qIUfVrxUwjRLa8Bpx7RdgewXGs9HFhufA1wGjDc+Lge+A9Ykz/gXmAGMB2415YADhRa2/970FW01vzx/S2U1TTx9MWTpZKwEKJfkGROtNJa8/nWfCICzazaW8KiVfs7PPeFH/aydn8pfztrLNcdO4R7zhjD0h0F3PLOJj5LzyMjv/KokbqmFgtvrTlAVJAv4/pBoRNXSY0K5MPfzmbBxEH8a+lubn13s10JXUVtE2+tOcAxw6KID/V3QqRCiK5orX8ASo9oXgAsMh4vAs5u075YW60GwpRS8cApwDda61KtdRnwDUcniB7rYGkt8/71HY98tdPVoXTqlZ/38+3OQu46fZRUUhRC9BtyW0m0Ss+pIKesjkfOm8BX2w7x8Jc7mTs8mmExQa3naK35ensBj32zi9PHx3HOFOsI0VVzUimraeTpFVl8np4PQFSQmf9ensbUFOsN5gc+28H67DIeu2Bil9MSPZ2/2YvHL5zEsJgg/rV0NyNigrj5xM6rcz3w+Q7Kahv586mjnBSlEKKHYrXW+cbjQ0Cs8TgBONjmvByjraP2oyilrsc6qkdycrIDQ3aNsppGFr66loOltTz33R5jf84hrg7rKOk55Tz8ZQYnj4lloWxULYToRySZc5AN2aV8sfUQN84bSmSQexb2+GJrPj5eilPGxDFvRDTzn/iBW9/ZxHVzh5AY7k91Q3PrBtjDYoJ46Ozxh63b+sP8kdwwbyj7imvYU1TDY0t3ccmLq3nyosmU1DSweFU21x87RBaMG5RS3HT8MLIKq3ls2W7GJ4YeVuGzre92FfLBhhxuOn6o3BEWwo1orbVSymFzCLXWLwAvAKSlpfX/uYmdqG9q4frX15NTWseb185k8ar9PPh5BrEhfpw5cZCrw2tVVd/EzW9vIjrIl0fPmyDrlYUQ/Yokcw7y+qpsPt6cx/825XLfWWM5c0K8W/3C11rzWXo+c4ZFERrgA/jw8DkTuOXtTdz27ubW8+JD/fjHOeM5b2oiPl5Hz9INMHszdlAoYweFMmdoJNcuXs9v39yAl1IcPzJaRpWOoJTiH+dMYFdBNbe+s5kPbphFTIgfAH4+Jny9vaiqb+Kuj7YyLCaIm0+QvXWEcAMFSql4rXW+MY3SVu0oF0hqc16i0ZYLzDui/TsnxOkyFovm9ve3sG5/GU9fPJlZQyOZnBxGSfVabn9vC1FBvswaGunqMNFa85f/beNgaS3v/mYWYQFmV4ckhBCHkWTOQXYXVDN2UAjeXiZueXsTP+4u4tHzJ7o6LLul51SQW1532Eacp46LY8u988ktryWnrI66xhaOHxVjd1ngyCBf3rp2Jn/6YAsHSmt58uLJeA3w6ZXt8Td78fxlUzjz6Z84+fEfDjsWFuCDr7eJwqoGPrhhtpRkFsI9fAIsBB42Pi9p0/47pdQ7WIudVBgJ39fA39sUPZkP3OnkmJ3qn1/t5PP0fO48bVTrKJyfjxcvXpHGec+v5PrX1/P+DbMYFRfi0jjf35DDJ1vyuP3kEUwbHOHSWIQQoj1dJnNKqVeAM4BCrfU4oy0CeBcYDOwHLtBalynrUNSTwOlALXCl1nqj8ZyFwN3GZR/UWi/CQ7RYNFlF1Vw5ezD/d8pIHvw8g9dW7ueqOamMGeTajshetimW88fEHdbub/ZiWEwww2J6ttG1v9mLZy6Z0vWJA1xKZCDv3zCbH3YXYRvQrWtsobCqgcKqemYOiWxdeyiE6D+UUm9jHVWLUkrlYK1K+TDwnlLqGiAbuMA4/Qus/WMW1j7yKgCtdalS6gFgnXHe/VrrI4uqeIzFq/bz3x/2cvnMFK4/9vD1caEBPrx29XTOee5nrnxlHR/dOJtBYa4p+JRVWMW9S7Yza0gkNx4/zCUxCCFEV+wZmXsNeAZY3KbNVnb5YaXUHcbXf+bwssszsJZdntGm7HIaoIENSqlPjKpdbi+7pIbGZgvDY4Lw9jLx+5NG8O66gyxauZ9/njfB1eF16egplsIVRsYFMzKuZ0mzEMI1tNYXd3DoxHbO1cBNHVznFeAVB4bWL32zo4D7PtnOSaNjuPfMMe0uR0gI8+e1q6ZzwfOruPLVtbz/m9lO75vqm1r43Vub8Dd78cRFk2RWiRCi3+pyawIpu9y13QXVAIyItf4hHhrgw9mTE/h4cy6lNY2uDK1L23Ir+P27m8ktr+P08fGuDkcIIYSH2nKwnJvf3sj4hFCeungy3u2su7YZHR/Cf6+Yyr7iGq57ff1RW930tYc+z2DnoSr+fcFEYo11zEII0R/1dJ+5Pi27rJRar5RaX1RU1MPwnCuzoArgsBL+V84eTEOzhXfWHXBVWJ2qqG3i4hdWc8bTP7F0RwFXzRnM2ZNkI2ohhBCOd6CklmsWrSM62JeXFk4jwNz1xKDZQ6P49wWTWLuvlNvf22LXfpyO8NW2fF5fba2+fHwHFYaFEKK/6HUBlIFWdllrTX2TBX/zL4UodhdWkxjuT6DvL9/OkXHBzB4ayRursrl+7pBO70C6wiNf72TNvhLuOn0UF05LJtRfplcKIYRwvLKaRq58dS3NFs1rV00nOtj+7XvOmjiIwsp6Hvw8g5gQX+45o/2pmY7Q3GLhp6xi/u+DdCYmhvLH+SP75HWEEMKRepphFBjTJ+lG2eX22t3O099mMf2hZVTUNrW2ZRZUtU6xbOvK2YPJq6jnmx0FzgyxSxsPlPHW2gNcOTuV648dKomcEEKIPlHf1MJ1i9eTU17Hi1ekMTQ6qOsnHeHauUO45phUXv15Py/9uM+h8Wmt2XSgjPs+2c7Mf3zLla+uw+xt4umLp2D27l83YYUQoj09HZkbkGWXt+dV8NTyTJotmhW7Cjl7cgJNLRb2FtVw3Mjoo84/cXQsieH+3P3xNl79eT/+Zi+mDQ7npuOHuWwPuuYWC3/53zZig/34w/wRLolBCCGE57NYNLe/t4X12WU8c8nkXpX2/8vpozlUWc9DX1hH6Bb0cllAVmE1n2zOZcmWPLJLajF7mzhxVAwLJg1i3kj7t+ARQghXs2drAim7DDS1WPjT++nGhqGabzIKOHtygrWSZYuFke2MzHmZFPedOZa31h6gtrGZgsp6/rV0N4VVDfztrLEuSegWrcomI7+S/1w6hSBf2WZQCCFE33j4q518vjWfv5w+mjMmDOrVtUwmxWMXTKS4qoE/vr+F8AAzc4ZFdavK5KGKej7dkseSLblsy63EpKzr8m46fhinjosjxE9mqQgh3E+Xf81L2WWr/3y3hx35lfz38ql8t6uQT7fk09DcclQlyyOdNCaWk8ZY68Norfn7Fxm8+OM+vE0m/nrGaKcmdLnldTy2dBfHj4zm1HFxXT9BCCGE6IH31h/khR/2snBWCtfOTXXINX29vXjhijTOf34lV7yyFoAAsxeBvt4E+3oT5OdNkK/x4fdLm5+3Fyv3lLB6Xwlaw8TEUO45YwxnTIgnRipVCiHcnAzN2GF3QRVPf5vJmRMHccrYOLxNirfXHmTN3lJ2F1ShFHatA1BKcdfpo2m2aF75eR8h/t7cdpJzpjpqrfnzB+lo4P4F41w2zVMIIYRnK61p5KHPM5iRGsE9Zzp2Fkqovw9vXTeTT7fkUVnXTHVDE9UNzVTVN1Pd0Ex1fTMHamqtj432FotmSFQgt504grMmDSI1KtBh8QghhKtJMmeHjzflojXcd+YYAOYMi8Lfx4tvdhRQWtNIckTAYdUtO6OU4p4zxlBc3chz3+3hkhnJxAT3/Z3BN9Yc4KesYh769TiSIgL6/PWEEEIMTI9+vZOahmYeOHtcn2y2HRXky1Vz7Bvt01rT0GzB19skNzGFEB5JSjXZYeOBMsYMCiEyyFpO2c/Hi7nDo1iWUcCugiqGx7Q/xbIjSiluP3kEzS0WXv6p55W5sktquPOjdJ5dkUVFXVOn5/398wzmDo/ikunJPX49IYQQojNbDpbzzrqDXDl7cIfLD5xJKYWfj5ckckIIjyUjc11obrGw5WAFF05LOqz95DGxLDW2HJg/Jra9p3ZqcFQgp4+P583VB7hx3rDW7QG25Vawck8xhZUNFFY1cPyoaH49OfGw59Y3tfDf7/fy7HdZADQ2W/jPd3u4dEay9VoBvyzibrFo/vR+Ot5ein+eO0E6NCGEEH2ixaL565JtRAf5cutJw10djhBCDAiSzHVh56Eq6ppamJISflj7CaNiMCmw6I6Ln3TlhuOG8ll6Pm+szuam44exbEcBN765kcYWC34+JoJ8vflkSx4l1Y1cO3cIYL3r+ft3N7O3uIYzJsTz1zPGUFzdwPPf7+XFH/ey6UA5b143Ax9jk/Inl2eydn8p/z5/IoPC/Hv3zRBCCCE68O66g6TnVPDkRZMIlsqQQgjhFJLMdWFDdhkAU49I5iKDfJmaEs66/WUMj+3+JqgA4xJCOW5ENK/8tI+kiABuf28zY+JDeHFhGtFBvjRbNLe8vYkHP8+g2aJpsWge/2Y3McG+LL56OseOsO5tFxvix9MXT+ak0THc+s5mHvhsB/cvGMeKnYU8tTyT86cmcs6U3u3JI4QQQnSkrKaRR77eyYzUCM6a2LttCIQQQthPkrkubDxQRmyIL4NCjy5S8uvJiewtqrGrkmVHfjtvKBe9sJpb3t7EpKQwFl8zvXWvGx8vxVMXT+b3727m4S93AnDGhHgeOnv8YVMpbRZMSmB7XiUv/LCXyEBfXvl5H6PjQ3jgbKleKYQQou88unQXVfXNUi1ZCCGcTJK5LmzILmNKcni7ndPF05O4cFpSr6p1zUiNYN7IaBqaLLxwxdSjpqb4eJl44sJJDIkOYmh0IGdNHNRpR/l/p4xkR14ljy/bTbCfN89fNgU/H/sqbQohhBDdlZ5TzttrD3DV7FRGxrm+6IkQQgwkksx1orCynpyyOq6cPbjd40opvHp5A1IpxatXTus0QfP2MvGHk+3bj87by8TTF0/mzx+mc+nMFFIiZT8dIYQQfcNi0fx1yXYiA3257WQpeiKEEM4myVwnNh6wrpebnBzexZm94+gpKeGBZl64Is2h1xRCCCGO9N76g2w5WM5jF0xsXSIghBDCeWSfuU5sPFCO2cvEuIQQV4cihBBC9CvltY3886udTBsczq8nS5EtIYRwBUnmOrEhu4xxCSH4esuaMyGEEKKtfy3dRaUUPRFCCJeSZK4DDc0tbM2tOGpLAiGEEGKg25ZbwZtrDnD5zBRGx8vsFSGEcBVJ5jqwLbeSxmYLU/p4vZwQQgjhTqxFT7YRGWjm93YW5xJCCNE3JJlrR0l1A3d9tBV/Hy+mpUa4OhwhhBCi3/hgYw6bDpRzx2mjCfWXoidCCOFKkswdobSmkUtfWsP+khpeXphGVJCvq0MSQggh+oWK2iYe/nInU1PCOUeKngghhMtJMtdGcXUDl720hn3FNby8cBqzh0W5OiQhhBCi3/j3N7sor23k/gVjMZmk6IkQQria7DNn2JpTwW9eX09JTSMvXpHGMcMlkRNCCCFstudV8MbqbC6fmcLYQaGuDkcIIQSSzAHw4YYc7vzfVqKDfPnwt7MZlyCdlBBCiIFNa01pTSP7imvYW1TDolX7CQ8w84f5I10dmhBCCMOASOa01pTXNnGosp7IIDPRQb40tWi+3JbPayv3s+lAObOGRPLMJZOJlDVyQgghBpD6phb2l1gTtn3FNewpqm59XFHX1Hqer7eJxy6YJEVPhBCiH/HoZO5ASS2/fXMDB0pqqWpobm339TZh9jZRVd/M4MgA7jtzDJfNTMHbS5YQCiGEGBie+TaTt9ceJK+iDq1/aY8L8SM1KpAzJsQzJDqIIVGBDIkOJCHMX/pJIYToZ5yezCmlTgWeBLyAl7TWD/fVa4UG+BAd7EtaSjhJEQHEhfpRWtNITlkdFbVNnDo+juOGR8sibiGEEANOeKCZqSnhnB+d2Jq0pUYFEujr0fd5hRDCozj1N7ZSygt4FjgZyAHWKaU+0Vrv6IvXC/X34bWrpvfFpYUQQgiHcubNToBLZ6Rw6YyUvnwJIYQQfczZ8yWmA1la671a60bgHWCBk2MQQggh+pU2NztPA8YAFyulxrg2KiGEEP2ds5O5BOBgm69zjLZWSqnrlVLrlVLri4qKnBqcEEII4SJys1MIIUS39buVzFrrF7TWaVrrtOjoaFeHI4QQQjhDlzc7QW54CiGEOJyzk7lcIKnN14lGmxBCCCG6IDc8hRBCtOXsZG4dMFwplaqUMgMXAZ84OQYhhBCiv5GbnUIIIbrNqcmc1roZ+B3wNZABvKe13u7MGIQQQoh+SG52CiGE6Dal2+4U2s8opYqAbCe/bBRQ7OTXdCR3jl9idx13jl9idx1Hx5+itR6wcweVUqcDT2DdmuAVrfVDXZwvfaT9JG7nkridS+J2PmfH3mH/2K+TOVdQSq3XWqe5Oo6ecuf4JXbXcef4JXbXcff4Rfe567+5xO1cErdzSdzO159i73fVLIUQQgghhBBCdE2SOSGEEEIIIYRwQ5LMHe0FVwfQS+4cv8TuOu4cv8TuOu4ev+g+d/03l7idS+J2Lonb+fpN7LJmTgghhBBCCCHckIzMCSGEEEIIIYQbGhDJnFLqFaVUoVJqW5u2iUqpVUqprUqpT5VSIUa7WSn1qtG+RSk1z2gPUEp9rpTaqZTarpR62F1ib3PsBaXUbuM9nOuE2JOUUiuUUjuM79mtRnuEUuobpVSm8TncaFdKqaeUUllKqXSl1JQ211ponJ+plFrY17E7On7jeIhSKkcp9Yw7xa6UesS4RoZxjupnsY8yfh4alFJ/7Oo67hC7cSxMKfWB8fOaoZSa1Q/jv9T4/7JVKbVSKTWxzbVOVUrtMv5P3dHXsYueUW7aPzoi7jbHnNY3Ovh3s9P6RUfGbRx3Sn/o4O+30/rCHsTdL/pBR8VtHHNqH9iD2PtP/6e19vgP4FhgCrCtTds64Djj8dXAA8bjm4BXjccxwAasSW8AcLzRbgZ+BE5zh9iNr/8GPGg8NgFRTog9HphiPA4GdgNjgEeAO4z2O4B/Go9PB74EFDATWGO0RwB7jc/hxuNwd4m/zfWeBN4CnnGX2IHZwM9Y973yAlYB8/pZ7DHANOAh4I9dXccdYjeOLQKuNR6bgbB++P9mtu1nETitzf8bL2APMMSIfUtff+/lo8f/5m7ZPzoibuNrp/aNPfgZ6xf9oqPibnM9p/SHDvx+O7Uv7EHc/aIfdFTcxjGn9oE9iL3f9H99duH+9gEM5vBf+hX8smYwCdhhPH4WuLzNecuB6e1c70ngOneJHTgIBLr432AJcDKwC4g32uKBXcbj/wIXtzl/l3H8YuC/bdoPO6+/x288ngq8A1yJE5I5B37vZ2H9w8cf6x9s64HR/Sn2NufdxxGdQXvXcYfYgVBgn+3n3FUf9sZvtIcDucbjWcDXbY7dCdzpyvciH53+O/e6jzniek7pHx0RNy7uG3vxu9ml/WJP4zYeu6w/7MX326V9ob2/i+ln/WBP46Yf9IH2xm60u7T/GxDTLDuwHVhgPD4f6y9+sGbQZymlvJVSqVh/6SS1faJSKgw4E2uH4Ardit2IF+ABpdRGpdT7SqlYZwaslBoMTAbWALFa63zj0CHAFksC1o7VJsdo66jdaXoTv1LKBPwbOGwKgbP0Jnat9SpgBZBvfHyttc5wRtxgd+zdvY5T9DL2VKAIeFUptUkp9ZJSKrDPgm1HD+K/BusdbegHP7OiV9y1f3SrvtFd+0V37Q/dtS90137QnftAd+v/BnIydzVwo1JqA9bh1Eaj/RWs3/j1wBPASqDF9iSllDfwNvCU1nqvMwNuo7uxewOJwEqt9RSs0wP+5axglVJBwIfAbVrryrbHtPW2hXZWLD3hgPhvBL7QWuf0UYgd6m3sSqlhwGis/38SgBOUUnP7KNwjX9sh/286u05fcUDs3linkP1Haz0ZqME6vcMpuhu/Uup4rJ3Zn50Vo+hT7to/uk3f6K79orv2h+7aF7prP+jOfaA79n/ernphV9Na7wTmAyilRgC/Mtqbgd/bzlNKrcQ6b9bmBSBTa/2E04I9Qg9iLwFqgY+MQ+9j/Y/X55RSPlh/KN7UWttev0ApFa+1zldKxQOFRnsuh9/lTTTacoF5R7R/15dx2zgo/lnAXKXUjUAQYFZKVWut+/QXk4NivwxYrbWuNq75pfF+fuxHsXf3On3KQbHnADlaa9sd1A9wXkfWrfiVUhOAl7CukSoxmjv6/yTcgLv2j+7SN7prv+iu/aG79oXu2g+6cx/orv3fgB2ZU0rFGJ9NwN3A88bXAbahXKXUyUCz1nqH8fWDWOfx3uaKmG26G7txJ+FTfvnFfyKwwwlxKuBlIENr/VibQ58AC43HC7HOS7a1X6GsZgIVxtD218B8pVS4slYRmm+0uUX8WutLtdbJWuvBWKeWLHZCIueo7/0B4DhlnZ7kAxwH9OnUkh7E3t3r9BlHxa61PgQcVEqNNJr65c+sUioZ6x/Cl2ut2/5Rvw4YrpRKVUqZgYuMawg34K79ozv0je7aL7prf+iufaG79oPu3Ae6df+nXbSw0JkfWKd95ANNWLP9a4Bbsd6Z2w08zC+LpgdjXeyYASwDUoz2RKxDqxnAZuPjWneI3TiWAvwApGNdy5DshNiPMb5n6W2+Z6cDkUYMmUacEcb5CutC9T3AViCtzbWuBrKMj6uc9P/GYfG3ueaVOKeapUNix1qV6b/G/6kdwGP9MPY442ejEig3Hod0dB13iN04NgnrtLB04GOcU8G1u/G/BJS1OXd9m2udjvV31B7gL30du3z0+N/cLftHR8RtHHNq39iDn7F+0S86Mu4217ySvq9m6ZZ9YQ/i7hf9oKPiNo5Nwol9YA9i7zf9n+0XnRBCCCGEEEIINzJgp1kKIYQQQgghhDuTZE4IIYQQQggh3JAkc0IIIYQQQgjhhiSZE0IIIYQQQgg3JMmcEEIIIYQQQrghSeaEEEIIIYQQwg1JMieEEEIIIYQQbkiSOSGEEEIIIYRwQ/8PKkZ7IDfCznMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x504 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 按照天，月，季度，年来显示沪市指数的走势\n",
    "fig = plt.figure(figsize=[15, 7])\n",
    "plt.suptitle('Shanghai Stock Exchange Index', fontsize=20)\n",
    "plt.subplot(221)\n",
    "plt.plot(df.Price, '-', label='byDay')\n",
    "plt.legend()\n",
    "plt.subplot(222)\n",
    "plt.plot(df_month.Price, '-', label='byMonth')\n",
    "plt.legend()\n",
    "plt.subplot(223)\n",
    "plt.plot(df_Q.Price, '-', label='bySeason')\n",
    "plt.legend()\n",
    "plt.subplot(224)\n",
    "plt.plot(df_year.Price, '-', label='byYear')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step2 模型选择&训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/statsmodels/base/model.py:568: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
      "  \"Check mle_retvals\", ConvergenceWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "最优模型:                                 SARIMAX Results                                \n",
      "==============================================================================\n",
      "Dep. Variable:                  Price   No. Observations:                  352\n",
      "Model:               SARIMAX(1, 1, 4)   Log Likelihood               -2249.762\n",
      "Date:                Tue, 09 Mar 2021   AIC                           4511.524\n",
      "Time:                        08:53:38   BIC                           4534.603\n",
      "Sample:                    12-31-1990   HQIC                          4520.714\n",
      "                         - 03-31-2020                                         \n",
      "Covariance Type:                  opg                                         \n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "ar.L1          0.5618      0.163      3.454      0.001       0.243       0.881\n",
      "ma.L1         -0.2268      0.164     -1.381      0.167      -0.549       0.095\n",
      "ma.L2         -0.0453      0.058     -0.783      0.434      -0.159       0.068\n",
      "ma.L3         -0.1573      0.044     -3.539      0.000      -0.244      -0.070\n",
      "ma.L4          0.2199      0.031      7.150      0.000       0.160       0.280\n",
      "sigma2        2.6e+04    941.086     27.632      0.000    2.42e+04    2.78e+04\n",
      "===================================================================================\n",
      "Ljung-Box (Q):                       44.35   Jarque-Bera (JB):              1129.88\n",
      "Prob(Q):                              0.29   Prob(JB):                         0.00\n",
      "Heteroskedasticity (H):               2.27   Skew:                            -0.85\n",
      "Prob(H) (two-sided):                  0.00   Kurtosis:                        11.69\n",
      "===================================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/statsmodels/base/model.py:568: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
      "  \"Check mle_retvals\", ConvergenceWarning)\n"
     ]
    }
   ],
   "source": [
    "# 设置参数范围\n",
    "ps = range(0, 5)\n",
    "qs = range(0, 5)\n",
    "ds = range(1, 2)\n",
    "parameters = product(ps, ds, qs)\n",
    "parameters_list = list(parameters)\n",
    "# 寻找最优ARMA模型参数，即best_aic最小\n",
    "results = []\n",
    "best_aic = float(\"inf\") # 正无穷\n",
    "for param in parameters_list:\n",
    "    try:\n",
    "        #model = ARIMA(df_month.Price,order=(param[0], param[1], param[2])).fit()\n",
    "        # SARIMAX 包含季节趋势因素的ARIMA模型\n",
    "        model = sm.tsa.statespace.SARIMAX(df_month.Price,\n",
    "                                order=(param[0], param[1], param[2]),\n",
    "                                #seasonal_order=(4, 1, 2, 12),\n",
    "                                enforce_stationarity=False,\n",
    "                                enforce_invertibility=False).fit()\n",
    "\n",
    "    except ValueError:\n",
    "        print('参数错误:', param)\n",
    "        continue\n",
    "    aic = model.aic\n",
    "    if aic < best_aic:\n",
    "        best_model = model\n",
    "        best_aic = aic\n",
    "        best_param = param\n",
    "    results.append([param, model.aic])\n",
    "# 输出最优模型\n",
    "print('最优模型: ', best_model.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step3 模型预测，可视化呈现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "date_list= [Timestamp('2020-04-30 00:00:00', freq='M'), Timestamp('2020-05-31 00:00:00', freq='M'), Timestamp('2020-06-30 00:00:00', freq='M')]\n"
     ]
    }
   ],
   "source": [
    "# 设置future_month，需要预测的时间date_list\n",
    "df_month2 = df_month[['Price']]\n",
    "future_month = 3\n",
    "last_month = pd.to_datetime(df_month2.index[len(df_month2)-1])\n",
    "date_list = []\n",
    "for i in range(future_month):\n",
    "    # 计算下个月有多少天\n",
    "    year = last_month.year\n",
    "    month = last_month.month\n",
    "    if month == 12:\n",
    "        month = 1\n",
    "        year = year+1\n",
    "    else:\n",
    "        month = month + 1\n",
    "    next_month_days = calendar.monthrange(year, month)[1]\n",
    "    #print(next_month_days)\n",
    "    last_month = last_month + timedelta(days=next_month_days)\n",
    "    date_list.append(last_month)\n",
    "print('date_list=', date_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 添加未来要预测的3个月\n",
    "future = pd.DataFrame(index=date_list, columns= df_month.columns)\n",
    "df_month2 = pd.concat([df_month2, future])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get_prediction得到的是区间，使用predicted_mean\n",
    "df_month2['forecast'] = best_model.get_prediction(start=0, end=len(df_month2)).predicted_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2160x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 沪市指数预测结果显示\n",
    "plt.figure(figsize=(30,7))\n",
    "df_month2.Price.plot(label='Real Stock Exchange Index')#实际的指数\n",
    "df_month2.forecast.plot(color='r', ls='--', label='Real Stock Exchange Index')#预测的指数\n",
    "plt.legend()\n",
    "plt.title('Shanghai Stock Exchange Index(month)')\n",
    "plt.xlabel('time')\n",
    "plt.ylabel('Exchange Index')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
